资源列表
Design-of-Bayes-classifier
- 假定某个局部区域细胞识别中正常和非正常两类,先验概率分别为:正常状态和异常状态,现有一系列待观察的细胞,试对观察的结果进行分类。-Suppose a local area cell recognition of normal and non-normal categories, a priori probabilities were: normal and abnormal states, the existing range of cells to be observed, the test
IMAGE
- 对图像进行大津法阈值分割,以及图像的分块。-Image Otsu threshold segmentation, as well as block images.
xiaobo
- 对仿真信号进行连续小波变换和离散小波变换-Simulation signal continuous wavelet transform and discrete wavelet transform
WAVELET_JX
- 单分量仿真信号进行小波变换后,小波脊线的提取-After the simulation of a single component signal wavelet transform, wavelet ridge extraction
xiaobo_shipin
- 对仿真信号进行复morlet小波变换后,绘制的时频图。-After the simulated signal multiplexing morlet wavelet transform, time-frequency diagram drawn.
SaliencyFilters
- 基于滤波器的显著度检测源代码,matlab及编译过的c-Saliency-based filters to detect the source code, matlab and compiled c++
krawtchouk
- 由递归方法求krawtchouk矩,提取图像特征,简单易懂,附有相关参考论文说明,并附有本作者的交流方式,欢迎讨论。-Find the recursive method krawtchouk moment, easy to understand, with a descr iption of the relevant reference papers, along with the author s communication, welcomed the discussion.
matlab-MRF-toy-examples
- 一种基于马尔科夫随机场的图像分割matlab源码,包含ICM迭代条件模式求解最大后验概率算法,已通过测试。-Markov random field based image segmentation matlab source code, including the ICM iteration conditions for solving the maximum a posteriori probability model algorithm has been tested.
tsallis
- 求图像的tsallis熵,tsallis灰度熵,香农熵,灰度熵。简单易懂,附有程序说明,及论文,并且有与本作者的交流方式-Find images tsallis entropy, tsallis gray entropy, Shannon entropy, gray entropy. Easy to understand, with a descr iption of the procedures, and there are means of communication with the au
ImageViewer
- 实现了图片显示和缩放的功能,并能够窗口自适应大小-Realize the picture display and zoom functions, and can be adaptive window size
Genetic-Algorithms
- 数学建模里面的 遗传算法,稍微修改一下就可以用的-Mathematical modeling of genetic algorithms inside, a little tinkering can be used
laplace
- 一段特别好的从摄像头或视频流里读取信息,并进行laplace变换的opencv程序,希望对大家有帮助。-Some particularly good read from the camera or video stream information, and laplace transform opencv procedures, we hope to help.
