用LSB的方法，实现了信息的隐藏和提取。

图象处理C源码分析,对学习图象处理入门的很有帮助-Image processing C source code analysis, learning the very useful image processing entry

视觉神经科学中一个重要的研究方法就是建立初级视觉系统功能与自然图像的统计特性之间的关系，通过对自然图像的有效编码（稀疏性）可以模拟初级视觉皮层的一些基本属性，包括简单、复杂细胞的感受野，细胞的空间组织结构等。本课题旨在研究如何建立一个高阶神经网络结构，通过学习过程稀疏的表示复杂细胞对自然图像块的响应，进而实现对图像轮廓的编码以及模型自上而下的推理。-use ica and gabor filter to simulate the visula system of human

通过CCD拍照后分析所拍图象的坐标以及相似度。-Through the CCD camera image after analyzing the film as well as the similarity of the coordinates.

边缘检测图像应用高斯滤波器平滑图像，用双阈值算法检测和连接边缘。-Application of edge detection image smoothing Gaussian filter images, with dual-threshold algorithm for edge detection and connection.

运动目标检测中背景差分法和时间差分法的实现结构包括平台。

并行磁共振成算法GRAPPA，希望对大家有帮助，内有K空间数据。-Generalized Autocalibrating Partially Parallel Acquisitions (GRAPPA)

针对传统方法难以可靠估计图像中纹理单一区域像素点视差的问题,将纹理分析应用于立体匹配中,提 出图像分块整体匹配的方法。首先用LBP/C纹理分析方法对图像纹理进行描述 然后进行基于区域生长的扩张检 测,得到纹理单一图像块 最后对图像块进行整体匹配,得到纹理单一区域的稠密视差图。对国际标准图像进行测试, 结果表明该算法能提高纹理单一区域稠密视差图的精度,具有实用价值 -Due to the difficulty of getting disparity of less textured pixels with traditional approach, block matching algorithm with texture analysis was put forward. First, the images were described by LBP/C texture analysis. Then the expansion detection based on region growing was performed, and the less textured blocks were acquired. Finally the dense disparitymap of less textured area was obtained through block matching. The proposed algorithm was tested with the international standard image data and comparedwith some existing algorithms. The experimental results show that the proposed algorithm can improve the accuracy of disparitywhen handling less textured areas and can be used in practic

多目标图像分割技术的发展和现有多目标图像分割技术的简介-The development of image segmentation and the summary of currently exsisting technology of image segmentation

基于边缘检测的细胞图像分割方法研究与实现-Based on Edge Detection of cell image segmentation research and realize

图像的简单操作，比如：读取，显示，膨胀，腐蚀，边缘提取，等等。-image of a simple operation, such as : read, display, expansion, corrosion, edge extraction, and so on.