LIF

CNN图像边缘检测，是将细胞神经网络的标准版用matlab实现，比较简单易懂(CNN Image edge detection is realized on matlab,it is simple.)

常规的中值滤波器，在噪声的密度不是很大的情况下效果不错。但是当概率出现的概率较高时，常规的中值滤波处理后，仍然具有噪声点，并丢失了细节和边缘，效果不是很好。 自适应中值滤波器可以尽可能的保护图像中细节信息，避免图像边缘的细化或者粗化。(The conventional median filter works well when the noise density is not very large. However, when the probability of probability is high, the conventional median filter still has noise points, and the details and edges are missing. The result is not very good. The adaptive median filter can protect details in the image as far as possible and avoid thinning or coarsening of the image edges.)

说明：  用于去除背景，得到原图与背景相减的图像并二值化(boundaries defects and improve the quality of remote sensing images and improve the visual effects))

de-speckling of noise in medical ultra sound images...

根据相机的指向数据，实现对亮星星表9110颗星在探测器上的模拟投影，得到序列星图(According to the data of the camera, to achieve the Bright Star Catalogue 9110 stars on the detector simulation projection to obtain sequence star map)

文献 "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" 的参考代码 用Lp正则化方法做盲复原的代码 demo_text_deblurring 是主函数(refer to "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" main function: demo_text_deblurring)

图像边沿提取，程序简单，适合图像处理初学者。(Image edge extraction, the procedure is simple, suitable for image processing for beginners.)

说明：  粒子滤波器matlab实现，用于实现目标检测算法(Particle filter matlab realized, for the achievement of Target Detection Algorithm)

本人自编的气球SNAKE模型代码，效果还算不错。(I own balloons SNAKE model code, the effect is still good.)

一个国外人编写的数学形态学的工具箱，几乎包括了所有的常用的算法，如形态学开，闭，重构，等等算法(Prepared by a foreign person toolbox of mathematical morphology, almost including all the commonly used algorithms, such as morphological open and close, remodeling, and so on algorithm)