metrix

利用turbopixel的超像素图像分割方法，可以显示不同块的颜色。(This is a mex c and matlab code, which uses the turbopixel to segment the object from the image. )

实现图像的均衡化，步骤很清楚，程序很优化，利于初学者学习使用。(accomplish picture processing)

若干经典的无参考图像质量评价算法matlab版本，附带详细的注释。(Several classic non reference image quality evaluation algorithms matlab version, with detailed notes.)

shi-tomasi方法角点提取方法。该方法测量结构张量的最小特征值。这代表了Harris和诺贝尔探测器试图近似的理想。哈里斯希望在计算特征时避免计算平方根的计算成本。(Shi-Tomasi corner detector method.The method measure returns the minimum eigenvalue of the structure tensor. This represents the ideal that the Harris and Noble detectors attempt to approximate. Back in 1988 Harris wanted to avoid the computational cost of taking a square root when computing features. This is no longer relevant today!)

基于预测误差周期性的图像重采样检测程序。(Image resampling detection based on the periodicity of prediction error)

本篇论文主要介绍地基云的自动检测！采用阈值分割！(This paper describes the automatic detection of the foundation of cloud! Using thresholding!)

说明：  ：针对显微图像分析、识别需要的全自动控制显微镜，研究开发其相应的图像处理算法。提 出了能量谱自动聚焦评价函数算法、自适应选取基准图的图像拼接算法、改进 Laplacian算子的多层 聚焦图像叠合算法等。该算法模块已成功地应用于所开发的CMIAS 显微医学图像分析系统中，取得 了满意的应用效果。(【ABSTRACT】For the automatic microscope required by micro-image analysis and recognition, the relevant image processing a lgorithms are investigated. Three algorithms are described: energy-spectrum image auto focusing evaluation function, image merging based on the adaptive selection of standard image and sum-modified-Laplacian (SML) operator for multi-focus image fusion. The algorithms have been applied successfully to CMIAS medical micro-optical image analysis system and testified to be feasible and effective. )

实现了一个基于颜色、纹理、形状综合特征的MatlabGUI图像检索系统。(Bulit an image retrieval system based on which combines these three features and realizes user-defined weights.)

Matlab在医学图像处理中的应用Study on Image Processing of the Lung Cancer and Bone by Using MATLAB (Study on Image Processing of the Lung Cancer and Bone by Using MATLAB )

能实现VFW编程，调用本地视频设备，实现视频捕捉和RGB-YUV颜色空间转换。 (To achieve VFW programming, call the local video equipment, the implementation of video capture and RGB-YUV color space conversion.)