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matlab手写数字图像处理样本加函数加测试结果表
说明： 如题，matlab手写数字测试图像处理 样本（30+50个）加全代码加测试结果(Like title, matlab handwritten digital test image processing samples (30 + 50) plus full code plus test results)
- 2020-06-23 21:20:01下载
- 积分：1
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ImageDivision
System Generator中图像分割算法建模(Image segmentation algorithm for modeling in the System Generator)
- 2020-10-23 20:27:22下载
- 积分：1
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图像处理标准测试图片库 Standard-test-images
图像处理标准测试图片库，用于数字图像处理各种仿真实验。(Standard test image gallery image processing to digital image processing all kinds of simulation experiments.
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- 2013-04-06 18:34:41下载
- 积分：1
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texton
基于基元共生矩阵的纹理特征提取。通过5个基本的方格来检测图像并生成图像的基元共生矩阵，并从矩阵中提取其纹理特征信息。(Texton occurrence matrix based texture feature extraction)
- 2021-04-09 17:39:00下载
- 积分：1
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ImageMatch
提取特征点并匹配，有基于相关系数和最小二乘两种方法。(Extracting feature points and matching)
- 2018-04-29 16:22:44下载
- 积分：1
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fuzzy
fuzzy,基于matlab的一个融合程序。(fuzzy, a fusion procedure based on matlab.)
- 2012-03-20 21:49:37下载
- 积分：1
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PeiZhun
说明： 基于图像灰度的图像拼接。由两幅内容有重叠的图像拼接成一幅视野更大的图像。(Image mosaic based on image gray scale. Content from the two overlapping images together into a larger image view.)
- 2010-04-13 19:23:23下载
- 积分：1
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watershed
a Method for Applying Morphological Watershed Segmentation on Brain tumor MRI Data...
- 2012-06-20 14:06:31下载
- 积分：1
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BMP_pix_read_write
实现BMP文件的基本功能。用C++实现一个Class，该Class具有读写BMP文件功能；该Class还具有对图像像素进行操作的功能（针对每个像素的读、写）
(BMP files to achieve the basic functions. Using C++ implementation of a Class, the Class has read and write BMP file functions the Class also features the image pixel operation function (for each pixel of the read, write))
- 2010-06-03 15:50:25下载
- 积分：1
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SiftGPU-V370
说明： 使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors.
SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified.
SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided.
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- 2011-02-23 10:20:27下载
- 积分：1
