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eigenfaces,基于特征脸的人脸识别的一个例子.入门级别-eigenfaces, feature-based Face to Face Recognition is a case in point. Portal-level
Date : 2025-12-21 Size : 2kb User : djfh hdh

基于水平集的彩色图像分割matlab实现算法(包括源码、测试图像)-Based on the level set for color image segmentation algorithm matlab (including source code, test images)
Date : 2025-12-21 Size : 97kb User : mei hongyan

有效的肤色分割程序,将RGB颜色空间转化到YCbCr空间,有效处理了光照 通过形态学处理完善了图片肤色分割的圆滑程度-Skin color segmentation and effective procedure to RGB color space conversion to the YCbCr space to deal effectively with the light through the morphological processing and improved color image segmentation smooth level
Date : 2025-12-21 Size : 1kb User : jack

MATLAB行情软件MatlabTraderGUI 1.完成了日线、周线、月线等不同周期的展示。 2.完成了MACD,BOLL,RSI,W&R,OBV,DMI,PVT等技术指标的展示。左上的两个均线的长度参数可以动态修改展示。 3.增加了展示范围的调整。(相当于普通行情软件的上下键) 4.增加了水平的slider用来滚动展示K线。(相当于普通行情软件的左右键) 5.拖动水平的slider,三个axes可以同步移动(拖动)。 6.按下鼠标左键,可以展示十字光标,右面的table可以展示十字光标处的 开高低收量。 7.在每个axes都增加了右键,可以进行图片另存为。 8.老规矩,Mcode我打包一并放出来,想用的拿去,可以直接改源代码,作为学习GUI是个不错的范例,我为人人,人人为-MATLAB software market MatlabTraderGUI 1 completed the daily, weekly different cycles, such as monthly show. 2 complete shows MACD, BOLL, RSI, W & R, OBV, DMI, PVT and other technical indicators. The average length of the upper-left of the two parameters can be modified dynamically show. 3 shows an increase adjustment range. (Equivalent to ordinary market down key software) 4. The slider to increase the level of K-line scrolling display. (Equivalent to about key common market software) 5 Drag the horizontal slider, three axes can be synchronized to move (drag). 6 Press the left mouse button, you can display the crosshairs, the right of the table can show opened at the level of the yield of the crosshairs. 7 have increased in each of the axes right, the picture can be saved as. 8 old rules, Mcode I packed together put out, want to take it to use, you can directly change the source code as a learning GUI is a good example, one for all, all for one
Date : 2025-12-21 Size : 658kb User : 光辉

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两个代码一个是demo, demo是它的小样例子, 另外一个是它的源代码. - - This is the matlab implementation of following noise level estimation: Xinhao Liu, Masayuki Tanaka and Masatoshi Okutomi Noise Level Estimation Using Weak Textured Patches of a Single Noisy Image IEEE International Conference on Image Processing (ICIP), 2012. - Copyright (C) 2012 Masayuki Tanaka. All rights reserved. mtanaka@ctrl.titech.ac.jp - Contents - * NoiseLevel.m The main code of the noise level estimation. You can show the description by > help NoiseLevel demo.m also includes simple usage. This algorithm is implemented with only single m file. * demo.m Demonstration example. * lena.png Sample image. * README.txt This file. - Note - We used the maximum eigenvalue of the gradient covariance matrix
Date : 2025-12-21 Size : 3kb User : 马欢
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