極大值抑制與雙閾值門限得到圖像邊緣： * 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.
標簽： nonmaxsuppts thresholding suppression non-maxima
上傳時間： 2016-07-08
上傳用戶：guanliya
the fuction performs thresholding to the eye images. this function can be used in implementing daugman algo for iris localization.
標簽： implementing thresholding the performs
上傳時間： 2017-03-23
上傳用戶：trepb001
otsu algo this is used to thresholding of an image.................................................................
標簽： thresholding image otsu algo
上傳時間： 2013-12-24
上傳用戶：xiaoyunyun
This is program for finding BAYES thresholding
標簽： thresholding finding program BAYES
上傳時間： 2013-12-17
上傳用戶：qazxsw
Non maxima suppression and thresholding for points generated by a feature or corner detector.
標簽： thresholding suppression generated detector
上傳時間： 2013-12-06
上傳用戶：as275944189
image thresholding otsu method
標簽： thresholding method image otsu
上傳時間： 2014-01-20
上傳用戶：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.
標簽： the pupillary funtions boundary
上傳時間： 2013-12-01
上傳用戶：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.
標簽： OTSU segmentation Gray-level segmented
上傳時間： 2017-04-24
上傳用戶：yuzsu
貝葉斯閾值方法實現圖像去噪，對文獻Chang.adaptive wavelet thresholding for image denoising and compression仿真結果。-Bayesian threshold method of image denoising。
標簽： 小波 圖像處理
上傳時間： 2016-04-25
上傳用戶：shiaijianjun
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