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CLBP_matlab
说明： 本程序是用matlab实现的CLBP源码(The source code of CLBP implemented by matlab)
- 2021-03-28 18:59:12下载
- 积分：1
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FCM-vs-ESSC
模糊聚类图像分割，还包括spectral clustering及其改进版（按照pr2010某paper）(image segmentation using fuzzy c means & spectral clustering)
- 2011-06-15 14:32:17下载
- 积分：1
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image-processing
全部都是图像处理的最新文献，与激光雷达有关，利用激光与摄像头结合，实现主动驾驶(image processing)
- 2021-03-18 16:09:20下载
- 积分：1
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sin-and-nml
正余弦+NLM滤波器和正余弦与其他滤波器的视觉效果与数值信息比较(Sine and Cosine+NLM cosine filter and compare numeric information with visual effects and other filters)
- 2020-11-26 16:39:31下载
- 积分：1
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MRF-segmentation
基于马尔可夫随机场（MRF）的图像分割算法(Image segmentation algorithm based on Markov Random Field (MRF))
- 2012-06-15 10:21:36下载
- 积分：1
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frac
分数阶各向异性扩散图像去噪，实现了文献Fractional-Order Anisotropic Diffusion for Image Denoising, Jian Bai, Xiang Chu, IEEE T. Image Process.,2007, 16(10): 2492-3502(Fractional anisotropic diffusion denoising literature Fractional-Order Anisotropic Diffusion for Image Denoising, Jian Bai, Xiang Chu, the IEEE T. Image the Process, 2007, 16 (10): 2492-3502)
- 2012-12-06 20:51:42下载
- 积分：1
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fast-parrallel-and-opta
经典复合式指纹细化算法源码，算法步骤为先用快速并行算法遍历，后用OPTA算法遍历，附有注释。(Classic composite fingerprint thinning algorithm source code, for the first step of the algorithm with fast parallel algorithm traversal traversal algorithm after using OPTA, annotated.)
- 2016-03-14 17:03:46下载
- 积分：1
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xsk_cs1
合成孔径雷达（SAR）的线频调变标（CS）成像算法(SAR radar imaging algorithm CS)
- 2009-03-04 20:42:58下载
- 积分：1
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fuliye
说明： 1. 对图像进行傅里叶变换。
2. 根据傅里叶变换的结果去除图像的竖条纹噪声。
3. 对图像进行傅里叶逆变换，得到分割图像。
(1. For the image Fourier transform. 2. According to the results of Fourier transform to remove the image of the vertical stripe noise. 3. Inverse Fourier Transform of the images obtained segmented image.)
- 2010-03-17 19:30:01下载
- 积分：1
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liantongyuzongmianjiyushuliang_DGlearn
说明： 通过利用“Otsu”方法对图像进行全局阈值分割处理。然后，将灰度图转化成二值图，为获得大豆颗粒计数和大小做准备。调用函数获得图像连通图的数量，并测量标注矩阵中每个标注区域的属性，获得每个标注区域的长度。最后通过寻找每个区域的重心数，即可统计出大豆的个数(The Otsu method is used to segment the image. Then, the gray-scale image is transformed into a binary image to prepare for the soybean particle count and size. Call the function to get the number of connected graphs, measure the attributes of each annotation region in the annotation matrix, and get the length of each annotation region. Finally, the number of soybean can be calculated by finding the number of barycenters in each region)
- 2019-11-14 22:33:51下载
- 积分：1
