程序

1.运用Laplacian算子，基于二阶微分的图像增强，即拉氏变换法进行图像平滑 2.利用邻域平均法实现图像的平滑处理 3.利用Robert算子做锐化处理(1. The use of Laplacian operator, based on second-order differential of the image enhancement, that is, Laplace transform method for image smoothing 2. The use of neighborhood average method of smoothing image 3. The use of Robert sharpening operator to do)

BM3D去噪算法的实现和相关文档，很好的去噪算法(Image and video denoising by sparse 3D transform-domain collaborative filtering Block-matching and 3D filtering (BM3D) algorithm )

retinex算法的一个源代码，用于图像增强处理，能比较好的提高对比度(retinex an algorithm source code for image enhancement, to better enhance the contrast)

通过erdas遥感软件提取水体的三种操作(Extracting water through software operation of the three operating)

说明：  基于内容的CNN图像检索，编写语言为matlab(CNN Image Retrieval, matlab)

说明：  针对弱小目标信号提出的RXD异常检测算法，实现对目标的检测(A RXD anomaly detection algorithm for dim and small target signals is proposed to realize target detection.)

CNN中的手写识别LeNet5实现，用python，进行了中文注释(CNN handwritten recognition LeNet5 implementation, using python, carried out in Chinese Notes)

图像去噪的评价指标ENL, SSIM, PSNR,SNR,EPI(The evaluation indexes of image denoising are ENL, SSIM, PSNR,SNR and EPI)

提出了一种基于图像边缘连接的线段检测方法。数字图像中的线段是由很多线段图元组成,在同一 条线段中,它们的方向是相同的并且受到真实线段的方向约束。因此可以通过提取小的线段图元, 然后分析它们 的连接特性, 进行线段的检测。首先用ADM 算法对图像进行边缘检测, 得到单像素宽的边缘 然后在4 个方向上 进行线段的检测 对初步得到的结果进行合并和验证, 去掉短的线段, 连接临近的线段。经过实验证明, 该方法能 够快速地提取图像中的线段,并且对噪声具有一定的鲁棒性(A line segment connecting a detection method based on image edges. The segment of the digital image is composed by many segments elements, their orientation is the same and by the real line segment direction constraint in the same segment. By extracting a small segment Element can then analyze their connection characteristics for the detection of the line segment. First with ADM algorithm for edge detection on the image to obtain a single-pixel-wide edge then in the four directions on the detection of the line segments merger and verification of the preliminary results obtained, removing the short line segments, the line segments connected near. The experiments show that this method can quickly extract the line segments in the image, and certain robustness to noise)

基于对尺度的MSR算法的医学图像增强算法。 调试可以通过 对于低对比度的医学图像有很好的效果！(scale based on the MSR algorithm of medical image enhancement algorithms. Debugging through the low-contrast image has good results!)