The thresholding tag has no wiki summary.
6
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0answers
140 views
Deblurring algorithm to precede thresholding - speed over accuracy
I'm writing an app that recognizes Sudoku puzzles from a camera input. I'd like to remove camera blur from the images to improve recognition. Here is an example image:
Since I'm processing a ...
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 ...
5
votes
1answer
96 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
138 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 ...
2
votes
1answer
70 views
Will binarization / thresholding of image yield better results when performed in a linear color space?
All thresholding algorithms I have read about make no mention about color space, except sometimes using pixel values between 0 and 255 as an example.
But since the intensity output by a monitor of a ...
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 ...
8
votes
2answers
205 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 ...
5
votes
1answer
150 views
DCT and hard thresholding
If I have an Image and i find the DCT and then apply hard thresholding on the coefficients and then IDCT then I have attenuated the noise. Can someone please explain in detail or point me to the ...
14
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2answers
2k views
What are the most common algorithms for adaptive thresholding?
Adaptive thresholding has been discussed in a few questions earlier:
Adaptive Thresholding for liver segmentation using Matlab
What are the best algorithms for document image thresholding in this ...
6
votes
2answers
806 views
Otsu binarization with value preservation
I'm trying to implement a modified version of the otsu binarization algorithm. I'm trying to binarize document images. But in the binarization procedure I want the object (in this case the text) to ...
7
votes
3answers
185 views
Determining optimal binary decision rule threshold from observations with unknown priors?
Given only observations of a binary signal perturbed by Gaussian noise with unknown prior information, how can I estimate the optimal decision threshold?
( No, this is not a homework question)
...
5
votes
3answers
1k views
How do I compare two resultant images from different binarization algorithms?
I have a binarized image to which i add noise and then try to filter out the noise using various thresholding algorithms such as otsu and niblack.How can i compare the resultant image with the ...
8
votes
4answers
391 views
How to do De-Houghing of a Hough transform'ed Image?
I'm working with code found at Rosetta Code for creating a Hough transform. I now want to find all the lines in an image. To do so I need the ρ and θ values of each of the peaks in the Hough space. A ...
20
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3answers
1k views
Best way of segmenting veins in leaves?
I have done a lot of research and found out methods like adaptive thresholding , watershed etc that can be used of detecting veins in leaves . However thresholding isn't good as it introduces a lot of ...
