a document about "Baseball Playfield segmentation Using Adaptive Gaussian Mixture Models"
标签： segmentation Playfield document Baseball
上传时间： 2017-04-01
上传用户：liansi
kmean algorithm for image segmentation
标签： segmentation algorithm kmean image
上传时间： 2014-01-18
上传用户：lanjisu111
Image segmentation. Very good
标签： segmentation Image Very good
上传时间： 2013-12-26
上传用户：妄想演绎师
FACE segmentation AND FACIAL FEATURE TRACKING FOR VIDEOPHONE APPLICATIONS
标签： APPLICATIONS segmentation VIDEOPHONE TRACKING
上传时间： 2017-04-12
上传用户：D&L37
Image segmentation using watersheds using matlab
标签： using segmentation watersheds matlab
上传时间： 2017-04-12
上传用户：xjz632
segmentation code in image processing
标签： segmentation processing image code
上传时间： 2017-04-19
上传用户：阿四AIR
skin segmentation software
标签： segmentation software skin
上传时间： 2017-04-19
上传用户：moshushi0009
this is mean shift one of image processing famous segmentation techniques, it is programmed in matlab
标签： segmentation processing programmed techniques
上传时间： 2017-04-21
上传用户：362279997
Dev c++, opencv, image segmentation and paint type image generation
标签： image segmentation generation opencv
上传时间： 2014-01-15
上传用户：kbnswdifs
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
