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EBMA compute Motion Vector for one block in Anchor Frame from Target Frame
Date : Size : 1kb User : 冯欣

ZNCC Normalized cross correlation m = zncc(w1, w2) Compute the zero-mean normalized cross-correlation between the two equally sized image patches w1 and w2. Result is in the range -1 to 1, with 1 indicating identical pixel patterns.-ZNCC Normalized cross correlation m = zncc(w1, w2) Compute the zero-mean normalized cross-correlation between the two equally sized image patches w1 and w2. Result is in the range-1 to 1, with 1 indicating identical pixel patterns.
Date : Size : 1kb User : mahmoud

The purpose of this project is to label connected components of an image. One image is made up of several image components which are expressed as connected pixels. This project is to identify and label these connected components when these components are successfully extracted from their background.
Date : Size : 27kb User : 李荣瑾

Normalises image values to 0-1, or to desired mean and variance Usage: n = normalise(im) Offsets and rescales image so that the minimum value is 0 and the maximum value is 1. Result is returned in n. If the image is colour the image is converted to HSV and the value/intensity component is normalised to 0-1 before being converted back to RGB. -Normalises image values to 0-1, or to desired mean and variance Usage: n = normalise(im) Offsets and rescales image so that the minimum value is 0 and the maximum value is 1. Result is returned in n. If the image is colour the image is converted to HSV and the value/intensity component is normalised to 0-1 before being converted back to RGB.
Date : Size : 1kb User : mahmood

利用MATLAB对高高光谱图像数据进行分析,程序很全面,对做高光谱的同志很有帮助哦--the procedure using matlab process the hyperspectral image
Date : Size : 2kb User : 顾天铭
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