极大值抑制与双阈值门限得到图像边缘： * nonmaxsuppts.m Code for performing non-maxima suppression and thresholding of points generated by a feature/corner detector. It optionally returns sub-pixel feature locations.
标签： nonmaxsuppts thresholding suppression non-maxima
上传时间： 2016-07-08
上传用户：guanliya
the fuction performs thresholding to the eye images. this function can be used in implementing daugman algo for iris localization.
标签： implementing thresholding the performs
上传时间： 2017-03-23
上传用户：trepb001
otsu algo this is used to thresholding of an image.................................................................
标签： thresholding image otsu algo
上传时间： 2013-12-24
上传用户：xiaoyunyun
This is program for finding BAYES thresholding
标签： thresholding finding program BAYES
上传时间： 2013-12-17
上传用户：qazxsw
Non maxima suppression and thresholding for points generated by a feature or corner detector.
标签： thresholding suppression generated detector
上传时间： 2013-12-06
上传用户：as275944189
image thresholding otsu method
标签： thresholding method image otsu
上传时间： 2014-01-20
上传用户：cc1915
This funtions draw circles to the limbic and pupillary boundary. this function is used in the daugman algorithm after the steps of thresholding and partial differeniation.
标签： the pupillary funtions boundary
上传时间： 2013-12-01
上传用户：c12228
OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.
标签： OTSU segmentation Gray-level segmented
上传时间： 2017-04-24
上传用户：yuzsu
贝叶斯阈值方法实现图像去噪，对文献Chang.adaptive wavelet thresholding for image denoising and compression仿真结果。-Bayesian threshold method of image denoising。
标签： 小波 图像处理
上传时间： 2016-04-25
上传用户：shiaijianjun
