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Chapter-1
数字图像处理的基础知识学习 涵盖源代码，有助于提高编程(digital image processing )
- 2013-11-05 20:36:52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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12
说明： 关于图像处理里的一些应用，将视觉相应算法应用到工程实际中，详细解说了算法在这里面的一些应用，很实用。(On some applications in image processing, the visual corresponding algorithm is applied to the engineering practice, a detailed explanation here below in some applications, the proposed algorithm is very practical.)
- 2015-01-10 14:48:06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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GetContour
说明： 用于物体目标轮廓的提取与跟踪，能更好的识别出物体轮廓。(Target contour for object extraction and tracking, to better identify the contours of objects.)
- 2010-04-07 09:46:42下载
- 积分：1
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discrete-cosine-transform
图形图像正交变换，离散余弦变换，VC++实现。(Graphic image orthogonal transform, discrete cosine transform, VC++ to achieve.)
- 2010-06-22 08:32:54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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yj
说明： ：针对显微图像分析、识别需要的全自动控制显微镜，研究开发其相应的图像处理算法。提
出了能量谱自动聚焦评价函数算法、自适应选取基准图的图像拼接算法、改进 Laplacian算子的多层
聚焦图像叠合算法等。该算法模块已成功地应用于所开发的CMIAS 显微医学图像分析系统中，取得
了满意的应用效果。(【ABSTRACT】For the automatic microscope required by micro-image analysis and recognition, the
relevant image processing a lgorithms are investigated. Three algorithms are described: energy-spectrum
image auto focusing evaluation function, image merging based on the adaptive selection of standard image
and sum-modified-Laplacian (SML) operator for multi-focus image fusion. The algorithms have been
applied successfully to CMIAS medical micro-optical image analysis system and testified to be feasible
and effective. )
- 2009-11-05 10:02:07下载
- 积分：1
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CT-tracking
一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)
- 2014-01-10 11:45:54下载
- 积分：1
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tuxiangzengqiang
图像增强的C++源程序，效果非常好，彩图ok(Image enhancement of the C++ source code, the effect is very good, Wallpapers ok)
- 2009-12-16 22:44:06下载
- 积分：1
