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AGAST-corner-detector
多尺度快速角点检测算法（FAST).Adaptive and generic corner detection based on the accelerated
segment test. 出处 Computer Vision–ECCV 2010(Multi-scale fast corner detection algorithm (FAST) Adaptive and generic corner detection based on the accelerated segment test. Computer Vision-ECCV 2010)
- 2020-09-21 18:27:51下载
- 积分：1
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Kinect_DepthCanny
用kinect获取3D图像，并从3D图像中用OpenCV方法从深度图中获取梯度边缘，从而得到更多信息，做后续处理(Get with kinect 3D images, and get the edge gradient from the depth map from a 3D image using OpenCV method to obtain more information, do follow-up treatment)
- 2014-02-21 21:19:53下载
- 积分：1
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Image-Fourier-transform
图像傅里叶变换，进行加密以及全息图。对初学者可以摸索学习(Image Fourier transform, encryption, and a hologram. Can explore to learn for beginners)
- 2012-03-01 10:25:11下载
- 积分：1
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imnoise
imnoise的M文件，对数字图像的加噪声非常有用处！(imnoise M-files, plus noise on digital images is very useful!)
- 2013-10-19 19:04:08下载
- 积分：1
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Retinex
本文实现了Retinex算法，支持对图像的去雾灯操作，是一种图像增强的方法。(this paper present a new image strength method-Retinex impliment by opencv)
- 2012-03-13 11:30:39下载
- 积分：1
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CSC.EGBIS.JSEG.Meanshift
经典的4种彩色图像分割方法：CSC.EGBIS.JSEG.Meanshift
的VC++实现；及相关英文文献。绝对值得拥有！哈哈...(The classic four kinds of color image segmentation method: CSC.EGBIS.JSEG.Meanshift of VC++ implementation and the relevant literature in English. Definitely worth having!ha ha ...)
- 2010-03-08 17:16:14下载
- 积分：1
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DiffStrip
傅里叶时域频域变换图形处理S参数在时域的应用(Fourier time domain frequency domain transform graphics processing S-parameters in the application of the time-domain)
- 2012-09-05 17:03:20下载
- 积分：1
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applepeo
苹果在线检测系统，实时性比较好，可用性更好，很好很好(Apple' s online testing system, real-time is better)
- 2009-02-19 15:42:10下载
- 积分：1
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energypick
本程序实现功能：
1、微机、IBM工作站segy格式文件的a)变面积、b)波形、c)波形加变面积显示；
2、AGC自动均衡显示；
3、用任意多边形选择剖面数据并提取归一化能量、修改选取数据。
(This program function:
1, microcomputer, IBM workstations segy format file of a) become area, b) waveform, c) waveform and become area shows
2, AGC automatic equilibrium display
3, with arbitrary polygon choose profile and extracted data normalization energy, modify, select data.)
- 2011-09-15 15:18:28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
