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Lsm_match
最小二乘图像影像匹配方法，一个很详细的源码例程，有过程有结果，希望对初学者有帮助。高斯解方程，以及最小二乘匹配，里面都很详细。(Squares image image matching method, a very detailed source code routines, the outcome of the process, I hope to help beginners. Gaussian solution of equations, and least squares matching, which is very detailed.)
- 2013-07-18 16:52:41下载
- 积分：1
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imageprocessing
Some of image processing tools in visual C++
- 2012-08-22 20:38:42下载
- 积分：1
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calication
摄像标定法求T R矩阵的方法
摄像标定法求T R矩阵的方法
摄像标定法求T R矩阵的方法(how to calculate the matrix R and T using the Camera Calibration method)
- 2011-06-27 16:58:09下载
- 积分：1
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Open02
一个简单的图像浏览器，对初学C++开发图像处理系统的朋友有启迪作用。(A simple image viewer, for beginners C++ image processing system developed friends revealing.
)
- 2011-11-16 15:51:17下载
- 积分：1
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two
：植物种类识别方法主要是根据叶片低维特征进行自动化鉴定。然而，低维特征不能全面描述叶片信息，识别准确率低，本文提
出一种基于多特征降维的植物叶片识别方法。首先通过数字图像处理技术对植物叶片彩色样本图像进行预处理，获得去除颜色、虫洞、 叶柄和背景的叶片二值图像、灰度图像和纹理图像。然后对二值图像提取几何特征和结构特征，对灰度图像提取 Hu不变矩特征、灰 度共生矩阵特征、局部二值模式特征和 Gabor 特征，对纹理图像提取分形维数，共得到 2183 维特征参数。再采用主成分分析与线性 评判分析相结合的方法对叶片多特征进行特征降维，将叶片高维特征数据降到低维空间。使用降维后的训练样本特征数据对支持向量 机分类器进行训练(plant species identification method is mainly based on blade automatic identification of low dimensional characteristics.However, can not fully describe blade low-dimensional feature information, identification accuracy is low, in this paper
A kind of plant leaves recognition method based on multiple feature dimension reduction.First by digital image processing technology to the plant leaf color sample image preprocessing, obtain background color removal, wormhole, petioles, and the blades of a binary image, gray image and texture image.Then the binary image to extract the geometric characteristics and characteristics of structure and characteristics of gray image extraction Hu moment invariants, gray co-occurrence matrix feature, local binary pattern features and Gabor, to extract the fractal dimension of texture image, get 2183 d characteristic parameters.By principal component analysis and linear uation analysis method of combining the characteristics of blade more feature dimensi)
- 2017-02-28 09:57:50下载
- 积分：1
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Mirror_DImageProcess
这个实例就像一个魔镜一样，能把原始图像照出各种变换效果,是基于MFC的多文档应用程序(This example is like a mirror,which can convert original image according to a variety of effects)
- 2013-11-29 16:23:24下载
- 积分：1
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jm5.0c
视频编解码技术，在有限带宽的情况下，能够大幅度的压缩编码比特数，图像的质量没有丝毫的下降。(Video codec technology, in the case of limited bandwidth can be substantial coding bits, the image quality is not the slightest decline.)
- 2010-08-23 13:34:24下载
- 积分：1
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ImageCutofRGB565BMP
裁剪以RGB565格式保存的BMP文件，涉及位图掩码内容(imagecut of the BMP picture which saved with RGB565 format and mask)
- 2015-01-22 10:57:48下载
- 积分：1
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k_mean_uv
利用k—mean算法根据U、V进行聚类分块，最后完成图像分割，分割出得块用不同的灰度等级表示出来。(K-mean algorithm to cluster sub-blocks according to the U, V, to finalize the image segmentation, segmentation have blocks with different gray levels represented.)
- 2013-01-15 15:05:42下载
- 积分：1
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DE
说明：
最简单的差分格式有向前、向后和中心3种。
向前差分：f (n)=f(n+1)-f(n)
向后差分：f (n)=f(n)-f(n-1)
中心差分：f (n)=[f(n+1)-f(n-1)]/2(The easiest difference format forward, backward, and three kinds of centers.
Forward differencing: f (n) = f (n+ 1)-f (n)
Backward difference: f (n) = f (n)-f (n-1)
Central difference: f (n) = [f (n+ 1)-f (n-1)]/2)
- 2016-05-17 21:08:01下载
- 积分：1
