Science topic

# Image Processing - Science topic

All kinds of image processing approaches.

Questions related to Image Processing

hi, i want to segment an image. i am using matlab. i ve used qtdecomp(image) to obtai the quad tree model for the image but it's throwing an error. pls help me. i ve taken a proj besed om image segmentation

I would like to know the code for image segmentation using matlab.

I have recorded EOG in .eeg format. I want to convert .eeg file to .mat file in matlab for analysis. anyone know how to convert it?

Which one should be used as a classifier for hand writing recognition, HMM or Support Vector Machines? For which type of data are one of these more suitable and other is not? Is there some major difference in the goals of these two both of these essentially perform the same task? What should we consider when choosing one of these two?

Can anyone suggest a good HMM library or toolkit for character recognition? Does OpenCV support HMM?

Usually this segment process only needs to manipulate the data from image directly. So, how do I manipulate histogram instead of image?

I have a 2D binary image containing a single object, and I'm trying to determine the largest ellipse that fits entirely within that object.

There are many techniques that will quickly fit an ellipse in a best-fit sense to the object, but this does not ensure that the ellipse will be entirely within the bounds of the object - in fact, unless the object is a perfect ellipse, they usually guarantee that it won't.

I have tried using a cost function and search algorithms to refine a starting estimate, but this is too slow. I've been using a home-made iterative technique, where I erode away edges, but this is also slow. I'm starting to wonder if I'm reinventing the wheel here.

[Edit] ----------------------------------------------------------------------------------------------

Thanks all for your replies. I'm adding some more detail.

Here is a link to some artificial data: http://img211.imageshack.us/img211/223/ellipseresult.png

I hope this works; I can't check it at work, I have to wait until I get home. The aritificial data shows a white region with a green ellipse "fitted" to it in the manner I discussed above. I can't provide "real" data unfortunately, but the artificial is a pretty good likeness.

To clarify, by largest ellipse, I mean the largest area (unfortunately - axis would be easy!). As to the issue of speed, I should probably add that I am trying to get this done very quickly, because it needs to be done for hundreds (if not thousands) of ellipses, so anything that takes a few seconds is not considered fast in this context. I think the operator would expect the result in a minute or two, maximum, for about a thousand ellipses. Having said that, if it can't be done, it can't be done.

I have tried a combination of estimation and then refine with a cost function and search algorithm. This seems too slow given the number of ellipses, as I discussed above. The other method I tried was an iterative approach which started with a list of boundary points, then discarded those that seemed to be too far "outside" for a fit. The next step is to fit the points which are either ont he ellipse or inside the ellipse, in an iterative fashion. I think this is what Jeffrey was also suggesting in the first part of his answer (encouraging if someone else is thinking on the same lines).

Technically, all of the ellipse should be inside the object. An error margin of about 0.5 pixels seems appropriate though to accomodate interpolation and thresholding.

I am going to try further refining my iterative solution. I will try being more ruthless in the early stages of pruning boundary points, and I will look for a faster algorithm for ellipse estimation. I'm currently implementing this in MatLab, and I'm using someone's implementation of the Trusted Region algorithm (I'd put in the name, but I can't get to the MatLab site right now). Eventially, I may switch it from MatLab to something like OpenCV to see how much speed gains I can get. Unfortunately, this will first mean learning OpenCV!

I am working on one project, where I have to control hand skeleton with EEG and EOG. EOG. But I am confused about how to use EOG to control robotic hand. Any suggestions?

Can anyone help me to do behavior subtraction using matlab?

Im doing project on paper Behavior subtraction. I need the help for coding.

What is the scope of pulse coupled neural networks in image processing?

PCNN is well known for image enhancement. Is the network currently utilized?

Looking for some implementation of compressive sensing.

What is the difference between multidetector and multislice CT scanner from the imaging purpose and image quality point of view?

What's the difference between images taken by multidetector and multislice CT scanner?What kind of images does each one produce?

Conversion of DICOM to Surface representation file

I would like to know if you have experience or some references to paper discussing this topic. In case the image presents for example salt and pepper or gaussian noise, what about performances? is it fundamental to perform some filtering on the image?

is there any way a program can emit codes. Not by doing string concatenation. it should logically generate codes based on observation.

There might be a way to divide the image into sub blocks to eliminate the light effect. So high illuminated parts will be quantized alone; this will alleviate the highly illuminated parts and decrease the affect on the other less illuminated parts.

I want to apply DWT2 of Matlab with db4-20. What I get is that Subbands are not the exact halves of 2^n image. For example if the image is 1024x1024 then the Subbands are of size 515x515 for db4 and increases with each higher dbX.

Is anyone here familiar with planar Hidden Markov Model (PHMM)? I found an article related to Handwriting Signature based on Automatic Segmentation that using PHMM approach (*refer to attachment below), but I don't quite understand it. If possible,can anyone explain to me how the PHMM works on the signature segmentation? Or does anyone know some specific algorithm/any link that I can refer regarding signature segmentation?

Hi everyone... I want to do some personal research work on thermal image.I am new in this image.I have some thermal image of human face and the basic thing I want to segment the two eye from that.But I have no idea about it?? anyone here who want to discuss this...

Please reply as soon as possible

Convex optimization or classical optimization etc

I need detail about image processing; how it helps for this world; what is the importance of it?

Software for Nomarski DIC microscopy image preprocessing

I have a bunch of cell images which I want to analyse (mostly basic stuff, like cell count, speckle detection etc., but there might be more difficult stuff on the horizon). Unfortunately, they have been obtained by differential interference contrast microscopy, which creates highlights and shadows to aid the eye in detecting 3D structures, but make things make complicated for image analysis. Is there any software to remove these effects, or any approach known to work?
Here's an example of those effects: http://131.229.88.77/microscopy/Portfolios/Portfolios08/Cara/P4I3.jpg

Does any one know the exact formula(s) for convex objective functions which their solution is SVD decomposition of matrix X?

Is it possible to filter a noisy image using 2-D AR model? If so, how?

As you know it is possible to design a filter for a noisy signal using Auto-regressive model and solving AR(p) by Yule-Walker equation. Is it possible to use the same algorithm for filtering noisy images? What is the best way to solve 2-D AR model?

What is the best method for classifiers using K-Nearest Neighbor? (euclidean distance, city blox, chebychev, minkowski, hamming, etc)

I need to carry out a change detection for a land cover map for three time epochs. The problem is: I have scenes in two different UTM zones 35 and 36 and mosaicing them causes a shift that affects co-registration and hence the change detection. Re-projecting them to planar (geographic) does not solve the problem either. Does anyone have any suggestions?

Object detection which are in shapes of triangles and circles

I'm looking for a C++ solution/technique that can find outlines in an image (image may be cartoonish looking one, not a photo) and create array of lines.

Basically I am not looking for filled shapes, neither for hatch detection etc. - just outlines.

For instance, if I have a black-and-white png with some hand drawing of a :-) smiley, I would like to be able to process this image and create an array of lines as data and store them into my own binary format, so later these can be used in vector-based drawing engine.

Is anyone experienced in this?

Even theory (not c++ sample code) is fine, I'm just looking for directions.

Now I work on this topic, and use the variance of brightness in a local neighborhood as a feature. But I seek for some better ones.

I have done this many changes but what code is there to recognize the person?

I'm trying to implement a real time system to sense and avoid, I have been given a robot to program, but it only has a single camera with out the capability for modifications. This system is over a wifi network and must be in real time. Any suggestions?

I'm new in "the research world", but I have been searching for around a month and everything I found is about how they work (lot's of maths, I think it ill be easy for me to understand if I see the code). I only need to know "if" there is any available source free to download. If not, then I will try to do it myself. Please advice.

Palmprint recognition

The files has the extention .vol, and the format is called "Kretzfile". It is a 4D ultrasonic study for fetal heart analysis. Doctors called the analysis STIC (Spatio-Temporal Image Correlation). The images were adquired using an ultrasound system "Voluson 730" of General Electric. I need the images for my research project related to segmentation and optical flow estimation.

I want find some methods in color gamut detection and boundary output and realizing it with MATLAB.

I tried for getting disparity map of video frames from single video... but unsuccessfully.

How is digital watermark embedded into printed pages?

I am pursuing a project on face detection in a given image where few researchers have used an optimum set of Haar like features to detect faces irrespective of their sizes in a given image. I find from the literature that few have used the Adaboost algorithm for this and am stuck at this point. Any ideas or suggestions?

I work with image compression. If you had a compression algorithm that worked well on images of interest and performed badly on noise images, what percentage would that be out of the whole 256^(512*512) image space.

I use the traker of open cv but I don't even know if I actually have to do that or not, I have realised a background subtraction and I would like to do a classification of my moving objects. I don't know if I have to track my blobs before doing the classification or directly classify the foreground mask.

In both cases, as far I have a binary image resulted from the background subtration, I applied a morphological closing and now I don't know what to do. I have been told that I have to transfrom the foreground mask to a sequence each element represents an object to be classified but if the object is not an image how would it be classied? And if actually I have to create a sequence, how do I do that and how to deal with it content to be classified?

Can anyone help me please?

I want to segment 3D cone beam CT images and haven't found good methods to solve my questions. The volume of 3D CBCT image is consisted of many 2D slice images.

Does anyone know where I can find a MATLAB program that implements a bank of quaternionic gabor filters on a color image?

Dear all

I hope to identify some regions in the image using it color space. I want to do this using fuzzy logic with image processing. First I want to derive the fuzzy set. But I new for fuzzy logic. So Can you help me ?

Can anybody suggest a source code for 3D human face model generating from images?

Open source and C++ codes are preferred for quick adaptation. Thanks.

I want to apply the object tracking methods for tracking particles in particle tracking.

Elastography images are color images taken with ultrasound images of tissues for the detection of cancer, by observing the stress patterns of the tissue.

I need help about Fuzzy Morphological operator in image using Matlab?

I need guide on applying fuzzy mathematical morphology on images.
Fuzzy Mathematical Morphology use concepts of fuzzy set theory. I am trying to explore Fuzzy MM approach in image processing. The values of a fuzzy set should be interpreted as degrees of membership and not as pixel values.
Fuzzy image processing has three main stages: Image fuzzification, modification of membership values, and image defuzzification.
The fuzzification and defuzzification steps are due to the fact that we do not possess fuzzy hardware. Therefore, the coding of image data (fuzzification) and decoding of the results (defuzzification) are steps that make possible to process images with fuzzy techniques. After the image data are transformed from gray-level plane to the membership plane (fuzzification), and then I want to apply dilation and erosion.
The Deﬁnition [De Baets, 1997] of fuzzy dilation and fuzzy erosion of A by B (Structuring Element)are the gray-scale images can be found in (page 6)
http://dmi.uib.es/~ugiv/papers/ipmu2004poster.pdf
I am trying to do Fuzzy MM dilation and erosion in gray scale images by using Matlab image processing toolbox. But confused how to do it? I want to apply [De Baets, 1997] definition in gray scale image.
Can you please make it more clear the idea for me?
Thanks for your time and cooperation.
http://dmi.uib.es/~ugiv/papers/ipmu2004poster.pdf

What are the advantages in case of medical imaging and how are they different?

PCA is extended to feature space by nonlinearity function for feature study like image denoising applications. Why do we need nonlinear PCA?

It takes very long time to find out, sometimes much longer than the research itself. Sometimes I ignore searching the literature and focus on the idea, but after a while I find it is an old one!!

What are the best journals for magnetic resonance image processing methods and applications (i.e. segmentation, classification, analysis)?

MR Image Processing Journals

Suppose I use laplacian pyramid for image denoising application, how would it be better than wavelets? I have read some documents related to laplacian tools in which laplacian pyramids are said to have better selection for signal decomposition than wavelets.

I have to use image processing using matlab. I need to take a picture of egg and analyse it using matlab and reach a conclusion whether it is cracked or not (I mean minor cracks of order micron).

My problems are:

1. What camera should I buy to take eggs pictures?

2. How can I make and run the camera from matlab?

3.Are there any useful resources which can help me in this regard?

Dear all,

can anybody help me how can i do image programming matlab practical and do i need some special hardware or not (i mean data acquisition) ?

I want help on digital watermarking

Dear all,

I am now investigating about steganography. Where can i found newest research about LSB method, etc? (sorry for my bad english)

Hii Researchers...

I am working on a Epigraphy Images...

I need to recognize letters on walls....

There are two steps involved......1st is segmenting letters from the image and 2nd is about recognizing the letters....

I am done with the second part of recognition :)

Now i want some help in segmentation work...

I cant work on color difference b/w wall part and letter part because its not there....

I want to start with Depth Recognition.....

please tell me how to go about it...thanks..

Image segmentation technique is not universe but why we are giving importance in bio medical for that

Given a convex function, there are a lot of methods that could be used to do the optimization, such as gradient decent, CG, primal dual method, PPA, Bregman Iteration, etc. But I am not clear that if there is a method which works in wavelet domain. If anyone knows something about it, please let me know. If you are interested by the topic, you can contact me by email, ygong@inf.ethz.ch, and we can work on it together.

I want to impliment FFT for the satellite Images using C++ can any body give sujjestions...

Dear all

I hope to collaborate with an interesting people with my search area "Wavelet neural network and it's application in image processing".

Can anybody share any library to recognize gestures with a webcam, in C++ if is posible? I am looking for OpenSource for my research, something like http://flutterapp.com/

I'm trying to compare my image contrast enhancement method to other ones. I tried and couldn't find anything on the web except some quite old and established methods. Does anyone know about some code on-line?

I have to compute the FFT of sparse binary images - where pixel values are either zero or one, but mostly zero. I'm currently using FFTW under MinGW but I'd like to know if a faster implementation (for this particular type of images) exists.

I want to convert MATLAB code to VHDL code or verilog.So,i can program any FPGA with that code.

Does anyone know complete sources or references or books or any complete material with one application?

I want to classify character and non-character after segmenting an image. Kindly, recommend some comments. In addition to this, if anyone knows a classifier that can help in classification of character/non-character in matlab, please tell me.

Mainly how are training samples selected? Do we assign class labels to each pixel in an image?

I am working on text extraction of an image in Matlab. Can anybody tell me the basic path to follow regarding literature and implementation in steps. I will be thankful.

How to perform segmentation and calculate particle size distribution from grey-scale images of overlapping sperical drops or bubbles?

Implementing udwt in matlab . Which is the function or corresponding loc(lines of code)

I want to read multiple images in Matlab

Is there any procedure to read multiple images in Matlab?

Is there a function directly in Matlab?

Is is possible to do any implementation related to software defined radio at home?

Data Security Over the Internet.

I intend to use PCA for image compression. But I don't know how many PC's can be used for the maximum energy of image to be retained with maximum compression? I faced the same problem in SVD also.

I have images taken by camera from all sides(By Matlab Codding), say Digits. Now how can I give I/p to the SVM or Any Classifier to classify images from each other?

What kind of signals it can filter the best?

Recently, I've been working on gesture recognition using HMM (Hidden Markov Model). But I found that before using HMM to recognize a gesture, I need to train the parameters (or classifier). Could anyone tell me how to do this?

I'm on a research work that will contribute to the advancements of digital forensics. The aim is to examine existing methods for image forgery detection, evaluate them and eventually develop a new approach that we hope would be robust enough against several types of image forgery at the same time. I'll need source codes in either C#, C++ or Phython to enable me hasten up in my research.

Many papers refer to edges but I don`t now any references where edges are defined clearly and carefully. (For example one could differentiate between a depth edge, a material edge and a texture gradient.)

Can anyone recommend the materials (trying to develop in c OpenCV)?

I found an article (see link attached) which describes a method how to decrease oversegmentation while doing watershed. The method proposed really works for 8bit images, but I cannot implement it for 16bit ones, since I do not understand constants and even where the principle comes from.

Thank you in advance, if you help me on the question or recommend a likely method

How do I identify a set of pixels from a buffer with complexity less than O(m x n)?

The buffer is RGBA color buffer and the property of target pixel set is it has zero alpha value but has some RGB value. Is digital signal processing technique useful for this job?

I would like to know how to implement the basic concept of LBP operator with uniform patterns. I have implemented the basic concept of LBP operator in MATLAB. Now I am using the concept of uniform pattern.

The problem is that I am not able to understand the basic concept of LBP with uniform patterns. How exactly should it be done? Is there any documentation available which can help me?

What are the different type of features that can be used for object detection and human detection?

I am interested in knowing the various statistical parameters used in image processing.One is PSNR and second is MSE. What others?