资源列表
MRF-ICM 也是先聚类再算的 里面有论文
- 利用马尔科夫随机场对图像进行语义分割，通过ICm求解参数，可以运行，对初学者有较好的借鉴作用(Using Markov random field to semantic segmentation of images, through ICm solution parameters, can run, for beginners have a good reference)
stereo_mrf-master左右图作业
- 斯坦福大学概率图模型课程作业，利用马尔科夫随机场进行图像分割，能运行，附有英文说明文档(Stanford University Probability Chart Model Assignment, using Markov random field for image segmentation, operation, with English documentation)
MATLAB实现图像分割otsuf 源程序代码
- 本程序，直接用MATLAB实现otsuf算法，并使用此算法对经典图像进行分割。(This procedure, directly with MATLAB to achieve otsuf algorithm, and use this algorithm to segment the classic image.)
retinex
- 给出了经典的单尺度retinex算法，还有关于retinex的自适应中值滤波(The classical single scale Retinex algorithm and the adaptive median filter for Retinex are given)
数字图像处理上机实验
- 数字图像处理计算图像峰值信噪比 利用JND进行图像增强(Calculate peak signal to noise ratio)
K-Means PCA降维
- K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the character
contourlet_toolbox
- 含contourlet变换和小波变换程序，能对图像进行contourlet变换，以及小波变换，及其两者的对比差异(Contain the contourlet transform and wavelet transform procedures, the image can be performed contourlet transform, as well as wavelet transform, and the difference between the two ways.)
clahe
- 限制对比度直方图均衡,重新分布亮度来来改变图像对比度。因此，该算法更适合于改进图像的局部对比度以及获得更多的图像细节(Restrict contrast histogram equalization, re distribute brightness to change image contrast. Therefore, the proposed algorithm is more suitable for improving the local contrast of images and
GUI图像处理程序
- 能够实现简单的图像处理操作，滤波，灰度化，二值化，形态学操作等(To achieve a simple image processing operations, filtering, grayscale, two values, morphological operations)
基于surf特征匹配运动补偿的侦查法目标检测
- 基于surf特征匹配运动补偿的侦查法目标检测(Detection target detection based on surf feature matching motion compensation)
Forstner
- 使用forstner算子进行图像特征点提取(forstner for feature extraction)
轮廓处理
- 利用stm32f407平台的实现图像采集以及轮廓提取(Using stm32f407 platform to achieve image acquisition and contour extraction)