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HoughMFC
用OpenCV进行图像处理与工程开发的一个入门示例程序——Hough变换，效果不错(using OpenCV for image processing and development of a project portal sample program-- Hough Transform good results!)
- 2006-11-03 21:15:57下载
- 积分：1
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Match
匹配算法，可以完美运行，对于初学者有着很好的参考价值(Matching algorithm, can be a perfect run, has a very good reference for beginners)
- 2013-12-13 23:14:37下载
- 积分：1
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VCPP-image-processing-chapter04
VisualC++数字图像处理技术详解第2版光盘-第四章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter Four)
- 2016-04-16 13:23:00下载
- 积分：1
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pcl
pcl 3d 文件格式转换，点云读取与显示(PCL 3D file format conversion, point cloud reading and display)
- 2017-11-09 13:02:45下载
- 积分：1
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VCdetuxingchuli
VC的图形处理以及简单的程序设计，简单易懂(VC graphics processing and simple program design, simple and understandable
)
- 2011-12-13 16:41:34下载
- 积分：1
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MedianValueFilter2006-10-24
Visual C++MATLAB图像处理与识别实用案例精选之 图像中值滤波 算法的源程序，含标准测试图片(Visual C MATLAB image processing and recognition practical case Featured's image filtering operator Law of the source, including standard tests Photo)
- 2006-10-24 16:27:59下载
- 积分：1
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LiveWireAuto
这是典型的图像分割Livewire算法的源码 结合OPENCV，配置一下就可以用了(This is a typical source image segmentation algorithm Livewire combination OPENCV, can be used to configure what)
- 2020-12-31 14:58:59下载
- 积分：1
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Edge-Thinning
Gray Level Edge Thinning Method
Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.
- 2016-09-13 22:05:34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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PolygonNesting
文章讲述了一种基于多边形的优化排样方法，结合不规则件特征确定了零件排放的最佳位置，给出了排料规则库的设计，通过排料空间的边界组织和边界更新，形成了新的排样空间。
(Article describes a polygon-based layout optimization method combined with irregular parts on characters of the part the best place to discharge given row of the design rule base material, the border by nesting space organization and boundary updates, formed The new layout space.)
- 2010-06-20 15:50:00下载
- 积分：1
