SL0

MCA图像修复,包含MCA和EM图像修复算法(MCA inpainting)

canny边缘检测（自动设置Sigma的高斯平滑+Sobel(原始)+自适应直方图阈值）(canny edge detection (automatically set Sigma Gaussian smoothing+ Sobel (original)+ adaptive histogram threshold))

说明：  根据文献Verification of color vegetation indices for automated crop imaging applications所述方法实现的可见光（RGB）的植被提取，效果非常好，压缩文件内附有该文献英文原文，以及部分供测试图片。(According to the method described in the document verification of color vegetation indexes for automated cross imaging applications, the effect of vegetation extraction of visible light (RGB) is very good. The original English version of the document and some test pictures are attached to the compressed file.)

最大熵多阈值实现多红外图像的实时处理，多阈值实现(The maximum entropy multi-threshold to achieve real-time processing of multiple infrared image.)

说明：  一种新的图像清晰度评价函数,该函数对经典采用八方向模板Sobel边缘检测算子来检测梯度值(A new image definition evaluation function, which uses eight direction template Sobel edge detection operator to detect gradient value)

用Matlab实现的Canny边缘检测算法，压缩文件中附有一张实验图片(Using Matlab realize the Canny edge detection algorithm, compressed file attached to an experimental image)

该代码用于在视觉智能监控/视频监控/视觉监控/视频智能监控中，消除阴影。阴影消除对视频监控具有重要的意义，能够有效地降低阴影对目标检测的影响，减小误检率和漏检率，提高对目标的识别效率以及监控系统的稳定性和可靠性。(This code is used to remove shadow in visual intelligent surveillance/video surveillance/visual surveillance/video intelligent surveillance. Shadow removal plays a important role in video surveillance. It reduce the affection of shadow in object detection, decrease false detection rate and missing rate, and improve the stability and reliability of surveillance system.)

用halcon给实际采集的图像进行畸变矫正，然后可以再人为添加一定程度的畸变，以便于定量研究，可运行已调试，可作为学习参考(Halcon is used to correct the distortion of the image collected, and then the human can add some degree of distortion to facilitate quantitative research. It can be run and debugged, and can be used as a reference for study)

SUN：利用自然统计的显著性贝叶斯检测框架。一种自底向上的检测图像的显著性区域方法。(SUN: A Bayesian Framework for Saliency Using Natural Statistics)

伯克利图像小组提出来的图像分割评价指标：边界误差。(Evaluation of image segmentation. Image: Berkeley group boundary error.)