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骨骼图像增强，对应于冈萨雷斯数字图像处理教程上的五个步骤(Bone image enhancement, digital image processing corresponding to Gonzalez' s five-step Tutorial)
- 2010-01-10 00:16:27下载
- 积分：1
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5
说明： 直方图调整并显示对比，直方图调整后都需要对比一下调整前与调整后的区别，并显示。此程序适合初学者学习。(Histogram and adjust the display contrast)
- 2013-08-21 08:25:38下载
- 积分：1
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expriment1
舌头图像处理舌头图像处理舌头图像处理舌头图像处理舌头图像处理舌头图像处理(Image processing image processing tongue tongue tongue tongue image processing image processing image processing tongue tongue image processing)
- 2020-08-17 15:38:22下载
- 积分：1
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105230290deblur_code_1_2
Hessian FUNCTION HESSIAN
- 2018-07-22 21:52:13下载
- 积分：1
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Pinjie
图像拼接，用于合成全景图像，VC++开发环境，C++实现。(Image Stitching)
- 2012-11-21 12:13:40下载
- 积分：1
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kalmanPcamshift(meanshift)
Kalman+CamShift实现视频追踪(Kalman+CamShift video track)
- 2014-05-14 16:46:19下载
- 积分：1
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surfAndsift
里面有注释，还有sift和surf的比较(There are notes, there are more sift and surf the)
- 2015-01-25 21:16:46下载
- 积分：1
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BMP_pix_read_write
实现BMP文件的基本功能。用C++实现一个Class，该Class具有读写BMP文件功能；该Class还具有对图像像素进行操作的功能（针对每个像素的读、写）
(BMP files to achieve the basic functions. Using C++ implementation of a Class, the Class has read and write BMP file functions the Class also features the image pixel operation function (for each pixel of the read, write))
- 2010-06-03 15:50:25下载
- 积分：1
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LBP1
用lbp实现纹理特征提取，并分类说明:
一共有三个m文件，一个是lbp.m, 存放主要的lbp算法，
一个是getmapping,用以做算法的辅助函数，
一个是lbptest.m,存放着测试代码。
这三个文件需要放到同一个文件夹，并在文件夹中添加相应的图片，
具体的图片名字见lbptest.m的代码，运行lbptest.m可以查看结果。代码最后给出效果图
这三个文件是最传统的LBP方法，有256种。(With lbp achieve texture feature extraction and classification Description:
A total of three m files, one is lbp.m, store the main lbp algorithm,
One is getmapping, helper functions for doing arithmetic,
One is lbptest.m, kept the test code.
These three documents need to put the same folder, and add the appropriate folder, pictures,
See lbptest.m specific name of the picture of the code, run lbptest.m can view the results. Finally renderings code
These three documents are the most traditional LBP method, there are 256 kinds.)
- 2013-10-21 17:09:14下载
- 积分：1
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Fire-detection-multiple-features
文章对比分析了火焰不同的形状结构特征，及其特征组合对火焰检测有效性的影响，提出了一种融合圆形度、矩形度和重心高度系数的火焰检测算法，然后将融合后的火焰特征输入支持向量机(SVM)中进行分类( Based on fusion of these flame features，the support vector machine (SVM) is used for classi-
fication． Experimental results on the fire videos at Bilkent University show that the proposed algorithm is efficient
and fast for fire detection，and it could detect fire real-time under a variety of circumstances．)
- 2015-12-07 09:46:24下载
- 积分：1
