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于 2010-07-01 发布文件大小:19KB

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图像二值化，去离散噪声，彩色图像灰度化，特征提取，灰度化，彩色图像平均灰度(Image binarization, to discrete noise, color gray image feature extraction, gray, color image mean gray)

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新建文件夹

..........\二值化.m,67,2010-01-13
..........\去离散噪声.m,112,2010-01-13
..........\图像分割.m,554,2010-03-10
..........\彩色图像灰度化.m,69,2010-01-13
..........\梯度化.m,164,2010-01-13
..........\求彩色图像平均灰度（用for循环）.m,149,2010-03-10
..........\特征提取.m,1065,2010-03-10

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waveenhace
说明：小波变换图像增强，经过matlab6.0测试，放心可用(Wavelet image enhancement, after matlab6.0 testing, confidence can be)

2011-03-03 13:03:11下载

积分：1
kmeans
实现基于颜色的Kmeans图像分割，只是需要自己设定聚类中心数目，聚类中心初始化采用Kmeans++(Kmeans image segmentation based on color, but need to set the number of cluster centers, clustering center initialization using Kmeans++)

2017-01-08 20:31:37下载

积分：1
tuxiangruihua
对已有图像进行锐化，这里有不同的方法对比，效果非常好，非常显著(The existing image sharpening, there are different methods to contrast, effect is very good, is very significant )

2013-06-20 21:20:03下载

积分：1
水果识别系统
基于GUI实现水果识别系统，限一个图片内存在一种水果(Realization of fruit recognition system based on GUI)

2018-05-18 15:04:03下载

积分：1
10784
彗星窗口水印源码例程程序结合易语言模块彗星窗口水印.ec，实现窗口水印效果。(Comets window watermark source program combines easy language module routines comet window watermark .ec, achieve window watermark effect.)

2014-10-10 09:59:55下载

积分：1
xa_context
Chunk does not have valid dummy end block.

2015-10-09 15:35:54下载

积分：1
SR
说明：利用稀疏矩阵思想进行图像的超分辨率重建，效果较好。(Thinking of using sparse matrix for image super-resolution reconstruction, the effect is better.)

2011-04-24 16:11:40下载

积分：1
myrotate2
复数乘法实现图像旋转，并且运用插值对旋转后的图像优化(Complex multiplication of image rotation, and the use of interpolation of the rotated image optimization)

2020-11-10 19:49:45下载

积分：1
pic_deal
对usb视频图像进行实时采集，并进行处理(Usb video images in real-time acquisition and processing)

2012-06-14 21:41:30下载

积分：1
Image-Fusion
泊松融合在某种意义上解决了图像融合的问题，但其在融合的过程中仅仅考虑了融入图像的梯度，而没有利用背景图像的梯度，因此，在使用泊松融合的过程中，需要对融入区域的标记较为准确，否则，会造成背景纹理的丢失，视觉上可以明显觉察图像融入的痕迹。因此，对公式稍作修改，在考虑前景的同时考虑背景的变化，可以得到更优的结果。(Poisson convergence in a sense solved the problem of image fusion, but it only considers the integration of image gradient in the integration process, but not the use of a background image gradient, therefore, the use of the Poisson integration process, the need for more accurate marker into the area, otherwise, it will result in the loss of background texture, image integration can clearly perceive the visual traces. Therefore, the formula slightly modified, in considering the prospect of taking into account the changes in the background, you can get better results.)

2015-04-21 12:11:50下载

积分：1

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