资源列表
TVdenoisingforSplitBregman
- 全变差图像处理，用的是分裂Bregman算法，可以很好地保留图像边缘，是目前研究者比较青睐的方法-Total variation image processing, using a split Bregman algorithm can well preserve the image edge, the researchers are currently more popular methods
dcmtk-3.6.1_20131114.tar
- DCMTK is a collection of libraries and applications implementing large parts the DICOM standard. It includes software for examining, constructing and converting DICOM image files, handling offline media, sending and receiving images over a network co
niblack
- 用Niblack法对图像进行灰度分割，得到二值化后的图像-Niblack method using gray-scale image segmentation, image after binarization
carocr-
- 这是一款最新的车牌识别系统，可识别各种车型，刮风下雨，出太阳，识别率仍很高！-This is a new license plate recognition system that can identify a variety of models, wind and rain, the sun was still high recognition!
xielv
- 提取椭圆边缘，通过提取长短经获取长径的斜率-Oval edge extraction, by extracting the length of the slope by obtaining long diameter
chap15_10
- 利用形态学方法，提取人眼感兴趣区域的MATLAB代码-Interested in the human eye area is extracted by using morphological method, MATLAB code
chap10_3
- 实现图像的霍夫曼编码和解码，具体实现的MATLAB代码-MATLAB code image Huffman encoding and decoding, the concrete realization of the
chap10_7
- 利用算术编码方法对矩阵进行编解码，具体实现的MATLAB代码-Arithmetic coding method is used to analyse the matrix decoding, concrete realization of MATLAB code
tiqubeijing
- 对叶片进行预处理和提取部分特征：1.均值去噪 2.k均值聚类提取复杂背景下的叶子图片 3.填充孔洞 4.去叶柄 5.提取轮廓 6计算纵横轴比、面积凹凸比、周长凹凸比、球形性、圆形性、偏心率、形状参数和矩形度等特征值并进行画图。- Pretreatment of leaves and extract some of the characteristics: a mean denoising 2.k means clustering leaf extract complex backgro
colorquanti.m
- 基于Lloyd算法的图像色彩量化实现，支持RGB格式的图像色彩量化-Lloyd algorithm-based quantification of image color, image format supports RGB color quantization
SFCT
- 一种新的目标跟踪算法。将压缩感知引入到序列图像目标跟踪中，可以实现目标的稳定快速跟踪。-A new target tracking algorithm. The compressed sensing is introduced into the sequence of image target tracking, stabilization target can be achieved fast track.
block-sparse
- 压缩感知matlab代码及说明，适合初学者学习使用,关于分块稀疏-Compressed sensing matlab code and instructions for beginners to learn to use, on the block sparse