Description: Otsu threshold segmentation method, also known as Otsu method, the use of gray-scale image distribution density function definition images of cross-entropy. Cross-entropy can be seen as both the probability of system (that is, the image background and objectives) the difference between the amount of information. Obtained the greater the cross-entropy, then partition the better.
- [Ostu.cpp] - I collect images of two gray value of th
- [adaptivethreshold] - ADAPTIVETHRESHOLD An adaptive threshold
- [hist2D] - used to calculate the gray image point-r
- [TM_image_segment_watershed] - right TM images based on gray gradient r
- [erweizuida] - This program is based on the grayscale i
- [zuixiaojiacha] - This procedure is written in matlab mini
- [SVM-KM] - Kernel-based analysis of the many types
- [ostu] - Application of image segmentation ostu m
- [ostu] - Stand straight Otsu s thresholding algor
- [vvvvv] - Wiener filtering for image restoration c
File list (Check if you may need any files):
otsu2.m
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