how can choose threshold method for image with four intensity level?
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hi all I want to choose threshold method for image with four intensity level. this is my histogram of my image:
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/162789/image.jpeg)
which threshold method is better for my image? I mean if my image has The low number of intensity level which thresholding method is better? and why?
thanks
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Image Analyst
le 28 Avr 2016
Try this
binaryImage1 = yourImage == value1;
binaryImage2 = yourImage == value2;
binaryImage3 = yourImage == value3;
binaryImage4 = yourImage == value4;
You can tell what the values are from the histogram or using unique(yourImage).
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Image Analyst
le 28 Avr 2016
Can you attach the original image, without the red curve, and also with the full number of gray levels, not one that has been quantized so much that it's essentially worthless for medical diagnostic purposes?
Walter Roberson
le 28 Avr 2016
Nearly any JPEG image is going to have more than 4 levels. JPEG uses lossy compression that is not able to exactly reconstruct images You will get aliasing effects at edges, pixels that are not exactly what you want.
You should use multithresh and imquantize . The result will be a labeled image. You might want to subtract 1 from the labels so that the black becomes 0 so that it can be ignored afterwards.
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Image Analyst
le 29 Avr 2016
multithresh was only needed because you jpegged the image and basically ruined it. It is not needed to segment out the brain. Look at the histogram in my screenshot. See how it's not 4 spikes like in your original histogram picture you posted? The spikes have become widened because the jpegging introduced several new gray levels. We not only have the 4 original ones, but we have a bunch more. Your image got changed. This is why you never use jpeg format for image analysis if you can at all help it. multithresh basically figures out the thresholds to produce an image with the 4 original gray levels. If you had saved as a PNG file, you would not have had that problem.
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