sfr2

说明：  可在matlab软件上实现自适应阈值分割(Adaptive threshold segmentation can be realized)

CT图像重建中经典的代数重建算法，其中还有我算的A矩阵的数据(CT image reconstruction in classical algebraic reconstruction algorithm, which there I counted A data matrix)

图像三维重建 matlab环境 可用于各种图像(Image three-dimensional reconstruction of the environment can be used for a variety of images matlab)

说明：  基于区域图和深度相似性表征的SAR图像分割，关于深度学习的一个文章，很有代表性，可以参考。(SAR image area map and characterize the depth of similarity based segmentation on a deep learning of the article, very representative, you can refer to.)

Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image.

采用zernike方法进行图像处理，适用于图像匹配，图像重建(The image processing method using zernike for image matching, image reconstruction)

单尺度SSR(Single Scale Retinex)(A Retinex Function)

一个很好的学习图像处理的函数的例子程序，对于初级学习者来说，有很好的帮助，对于初学习者非常适合！(a good learning image processing function examples procedures for primary learners, good help, very suitable for early learners!)

sample illust back image2 mask sample

在本文件中，我主要研究通过行人的表观特征进行识别，例如颜色、纹理等等。用matlab GUI 编写了程序，对行人进行匹配 (Pedestrian recognition of the inter-camera is intelligent surveillance camera network a key research direction. Match the pedestrian different camera, you can cross the pedestrian track of the camera, the expansion of the monitoring horizon, at the same time can have a clearer grasp of the behavior of pedestrians in the entire surveillance area. Different cameras, different lighting conditions, the pedestrian position and a different scale, shelter, etc., making the pedestrian match challenging. In this document, I study to identify by pedestrian apparent characteristics such as color, texture, and so on.)