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: 2014-01-14
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