image-segmentation refers to the process of partitioning a digital image into multiple segments, typically to locate objects and boundaries.
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0answers
21 views
How to know what spectrum image layers are in eCognition? [closed]
This might be a really newbie question, but my teacher is an idiot so hopefully you guys can help me out:
I'm learning to use eCognition (8.1) and my teacher has provided me with some example tif ...
1
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1answer
36 views
Smoothing “font characters” outlines in bitmap image
Adobe Acrobat has this as a feature called ClearScan. While doing OCR it allows image enhancement, by smoothing irregularities on font outlines.
For example, this source:
turns to this:
Are ...
3
votes
1answer
42 views
How to approximate these fuzzy rectangle shapes in binary maps?
The following binary maps are the results of a measurement I've carried out. I'm looking for a quantifiable measure of the red areas. I could trace rectangles manually (the green rectangle on the ...
0
votes
0answers
26 views
State of the art in Cancer tumour detection using Digital image processing algorithms
I am trying to understand how image processing is applied for detection of cancer tumor using image processing. Towards this direction I am trying to get latest information i.e state of the art in ...
1
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0answers
38 views
Segmentation of microscopic images
This is a classical image segmentation problem: I need to make a visual measurement of particles.
I've been using watershed, kmeans and mean shift but it doesn't work well on this image. Could you ...
1
vote
1answer
55 views
What are some easy to detect reference mark shapes and corresponding detection methods?
Question Details:
There are a variety of image processing algorithms useful for detecting reference marks (contour tracing, FAST, MSER, Haar Feature-based Cascade Classifier, or even just Harris Edge ...
1
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0answers
34 views
Automatic MRI Segmenation of Heart over Dicom Image [duplicate]
I have a bunch of short axis MRI images of the heart(Left Ventricle), in dicom format.
I want to do a Automatic segmentation of various structures in these images.
Does anyone know of a program I ...
6
votes
0answers
105 views
Counting vechicles in an image
I have been trying to implement an algorithm for successfully counting cars in an image. I have tried implementing A Method for Vehicle Count in the Presence of
Multiple-Vehicle Occlusions in Traffic ...
1
vote
1answer
23 views
Extract feature area from image
I have an image like the one above, and what I need to find are the red circled areas. They are caused by how the nerve layer is in the eye, and I have no idea what method to use to extract them. (I ...
1
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0answers
41 views
How to detection of the boundary of the left ventricle [closed]
How to detection of the boundary of the left ventricle from MR images, the crucial step is to determine the region of interest (ROI) or the center point (CP) of the left ventricle.
I just want to ...
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votes
1answer
25 views
Morphology algorithm how it work for left ventricles dicom image [closed]
After so much search on google i find out few things hope so that correct for detecting Left ventricles of hearth and draw the Region of Interest(ROI) on MR Modality .
Can you give me please more ...
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votes
1answer
29 views
Multithresholding- OTSU method
I'm trying to segment a specific part in a gray-scale image and I want to achieve this by applying the OSTU algorithm, but after using this function:
...
0
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1answer
52 views
Basic Algorithm for Image Classification
I have been trying to implement image classification by extracting facial features. I tried starting with some already established methods like Multi Kernel Approach, using Independent Component ...
5
votes
1answer
60 views
Vehicle segmentation and tracking
I've been working on a project for some time, to detect and track vehicles in video captured from UAV's, currently I am using an SVM trained on bag-of-feature representations of local features ...
10
votes
0answers
70 views
Reconstructing Tree Limbs that are Occluded by Leaves
How would would one approximately reconstruct the branches in a photo of a tree, where portions of the branches are covered by leaves?
I can extract the visible portions of the branches by ...
0
votes
1answer
78 views
Image thresholding while retaining “underneath” contents
I have sample images, and I need to extract certain features that depend on color. Images are more like line art, contours, and consist of various line forms, and several colors.
I can extract ...
3
votes
3answers
190 views
Local Image Features Extraction for Road Signs
I'm working on a project to detect a road sign from the Image. Consider the sample image below:
I'm using a heuristic search to detect the road sign within an image. Basically, I want some weak ...
1
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0answers
44 views
Modern day Image Segmentation techniques
I was doing some reading up on image segmentation techniques but I was wondering if there are any modern day segmentation techniques that is a kind of 'must-read' for image segmentation purposes.
1
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0answers
50 views
Separating similiar object in an image
I have posted a question on Stackoverflow and was suggested to post here.
Please refer this question for the images: Similar Question:
I have used SURF Keypoints and a FLANN Based matcher and ...
0
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0answers
23 views
Image intensity
Let us consider three gray scale intensities 252(11111100),122(01111010),250(01111010).
If i want to group them in to two groups,
I have to see directly intensities(252&250 are grouped together)
...
0
votes
2answers
93 views
Steps for recognizing hand written signs
What are the steps to built a system which recognizes hand written signs in an image and returns the most similar sign in Python? I know that depends on the image and many variables, but isn't there a ...
1
vote
1answer
139 views
How to obtain mathematically high frequency and low frequency component separately using Bilateral filter?
I have asked this question before in the sense that what does a high frequency and low frequency component signify in a image and i got satisfactory answers now i want to know that how i can get high ...
5
votes
1answer
101 views
Adaptive thresholding based on number of pixels
I'm thresholding an image where the threshold value is a count of the pixels such that for instance if the threshold value is 100, any color value which has less than a 100 pixels is classified black ...
7
votes
1answer
139 views
White Road Sign Detection [duplicate]
Possible Duplicate:
How to extract traffic signs from a photograph?
I am working on a project which involves detecting north american speed signs (black/white) using a 720p HD camera. My ...
3
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0answers
41 views
Perceptually Corresponding Error Map
Is there any better measurement of error between two images than just taking pixel value differences?
The problem I am tackling is stitching images containing "sensitive" objects, such as moving ...
0
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0answers
43 views
Repair gaps in image and “reconnect” connected components
I am working on an image recognition application that processes groups of connected pixels and classifies these.
Sometimes, due to sampling errors some pixels that should be connected are not.
What ...
9
votes
2answers
219 views
Segmentation of half transparent material, e.g. glass
I'm totally stuck on an issue regarding the segmentation of glassy objects.
I need to get the object as precise as possible.
My approaches were different.
At first I tried to remove the background, so ...
0
votes
1answer
187 views
FFT of color images incorporated into an Object Recognition method?
Is there any instance where Fourier transforms of color images have been used in conjunction with other object recognition method?
Any instance of usage of Fourier transforms in color images? I ...
4
votes
1answer
129 views
Compare image segmentation approaches
I've got a question related to a comparison of image segmentation algorithms.
I'd like to compare two algorithm results to each other in step one.
In another step I'd like to compare the two ...
2
votes
3answers
2k views
Split and Merge image segmentation algorithm in OpenCV
I asked google and I've tried to find something in the API of OpenCV, but hadn't any good hints on split and merge image segmentation method.
I want to test it, if it's working better than my ...
11
votes
3answers
205 views
Slicing and Recognition of book title and author from bookshelf image
I am trying, for my own learning purposes, to develop an implementation of an algorithm that would list books, given an image of a bookshelf like the following:
The first step is to slice the image ...
6
votes
0answers
55 views
What are the state of the art methods for person segmentation and person pose identification
I know that HOG is pretty state of the art for person detection, but in its original form HOG is only a detection method, and I don't believe it is particularly fast either (there is a significant ...
2
votes
0answers
1k views
Region growing in Matlab for brain MRI segmentation
I'm doing an image processing project. The goal is to implement a segmentation technique for brain MRI using histogram thresholding and morphological operations : the method is called MBRASE, the ...
3
votes
2answers
233 views
Understanding Cb and Cr components of YCbCr color space
I am familiar with additive (RGB), substractive (CMYK), and HSV-like colorspaces, but an article I'm currently trying to understand operates on YCbCr color space for image segmentation / object ...
5
votes
1answer
729 views
Remove shadows from image
I want to extract only the grapes from the images. Unfortunately, sometimes I don't get the grapes exactly.
I have a code that doesn't work well in all cases. Sometimes, it does not differentiate ...
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votes
2answers
204 views
Classification of Objects from a video/Image ( human,animals,others(cars etc.,) )
Moved from here SO Link.
Hi I am new to image processing field. My project is to classify the objects in an image/Video. The input is an image/video from surveillance camera. I should classify the ...
9
votes
2answers
265 views
Finding zebra-like pattern in image (Detection of structured-light fringe centerline from photo)
I'm working in a project where fringes are projected against a subject, and a photo is taken. The task is to find the centerlines of the fringes, which represent, mathematically, the 3D curve of ...
10
votes
6answers
1k views
Image segmentation issue of different materials
Hi CV/Pattern Recognition Community,
I've got a serious problem regarding the segmentation of an image.
The scenario is an atmosphere within a furnace which makes my head go insane.
And I need to ...
11
votes
2answers
202 views
Image Registration by Segmentation
Image registration algorithms are usually based on point features such as SIFT (Scale-Invariant Feature Transform).
I saw some references to line features, but I was wondering if it would be possible ...
8
votes
2answers
208 views
Segmenting pills from the background
I just recently started out with Image processing and taken up a course related to it in Grad school. But I already have a project to do without too much information about the subject, however I've ...
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votes
1answer
79 views
finding textures on images
I want to detect textures on images, for example after proccessing on image must be shown areas of each texture and area where is no texture.And I want to compute "mean" texture of selected area.
...
5
votes
1answer
330 views
count blood cells
How to count blood cells in opencv? The problem is that they stick together.
The example picture :
Maybe pairwise geometric histogram (Geometric Histograms) suitable for matching partial circle ...
3
votes
0answers
54 views
learnable segmentation or learnable edge detection
Is there some learnable segmentation or learnable edge detection algorithm exist?
For example I mark N fotos by hands and than program "learns" how to do it best way and can do it on similar images.
...
5
votes
1answer
178 views
decision rule for image segmentation
Let Y be a measured (noisy) image Y= X+ noise, where X is an image contains 0(Background) and 200(object). I need to create a decision rule that determines whether the true pixel value was 0 or 200 ...
8
votes
2answers
643 views
Counting the number of objects intersected by the image border in MATLAB
I have an RGB image with various signs. My main goal is to count the signs that are in contact with the image borders.
Approach and problem
I started by loading the image [Fig. 1], then converted it ...
10
votes
1answer
204 views
Image de-noising with better edge preservation
I have the input image :
and the output of vein detection for the leaf using a Gabor filter, but the output is really noisy:
I tried using Total variation denoising however the results are not ...
11
votes
1answer
228 views
3D reconstruction of an image based on depth of intensity levels?
Is there anyway of segmenting objects based on how far they are from the viewer?
Can color values assess this sort of a thing for us?
How will intensity levels help in determining how far the object ...