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bilinear
用双线性插值法实现的图像缩放，内有详细的使用说明。非常好用(Bilinear interpolation method used to achieve the image scaling, which has detailed instructions. Very easy to use)
- 2008-06-06 11:05:02下载
- 积分：1
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Ostu.cpp
本人搜集的Ostu图像二值化的算法，是在MATLAB环境下写的，不过上传的代码是文本格式的，各位可以根据自己需要参照一下(I collect images of two gray value of the algorithm is to write MATLAB environment, But the code is uploaded to the text format, you may need to refer to themselves)
- 2006-05-22 11:28:19下载
- 积分：1
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Huangtu
说明： 利用梯度算子对图像边缘进行计算，比较得出清晰度评价值，进行取得最佳清晰度图片(The gradient operator is used to calculate the edge of the image, and the sharpness evaluation value is obtained by comparison to obtain the best sharpness image)
- 2021-03-08 15:32:50下载
- 积分：1
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Face-Eye-Detection
说明： 一种人脸识别方法,是利用眼睛虹膜进行识别(A face recognition method is the use of iris identification)
- 2009-08-24 22:48:34下载
- 积分：1
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Chapter3
图形处理，Visual C++图形编程技巧与实例源代码3(Graphics Visual C++ graphics programming techniques and source code examples
3)
- 2012-02-29 11:16:21下载
- 积分：1
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SOM_Algorithm
说明： 自组织神经网络SOM的算法，经过调试可以用(Self-organizing neural network SOM algorithm can be used after debugging)
- 2008-09-24 23:59:57下载
- 积分：1
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Face-deformation
C++，人脸变形，选择图片，在图片中选择一个四边形窗口（人物脸部），然后再在内部选择一个四边形窗口，逆时针选择，然后点击变形直接呈现变形结果，点击动画可以查看人脸变形过程(C++ program, select a picture, choose a quadrilateral window (human faces) in the picture, and then select a quadrilateral inside the window, counter-clockwise to select, then click on the deformation presented directly deformation results, click animated facial deformation process can be viewed)
- 2014-02-16 13:46:01下载
- 积分：1
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可自选输入图片和参数的均值_中值_拉伸滤波
可自选输入和参数的中值/均值/拉伸滤波，各项参数说明详见.m文件注释(Median/Average/Linear Stretch Filter)
- 2020-06-18 00:40:02下载
- 积分：1
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Criminisi-original-gray
原始的criminisi灰度图像修复算法及实验图片(Original Criminisi grayscale image restoration algorithm and experimental images)
- 2013-05-10 10:01:35下载
- 积分：1
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gaborf
Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image.
- 2012-01-30 13:38:55下载
- 积分：1
