压缩感知程序

Lee的经典的多分辨率B样条拟合方法（multi-level B-spline fitting）的VC源代码。广泛应用于图形图像处理，CAD等领域。(Lee s classic multi-resolution B-spline fitting method (multi-level B-spline fitting) of the VC source code. Widely used in graphic image processing, CAD and other fields.)

简单的灰度图像的K均值聚类分割，Matlab实现(gray image segmentation using K-means clustering by matlab.)

圆阵常规波束形成与MVDR用于方位估计的比较，可以更改信噪比仿真两者的区别联系(uniform circle array based for estimating direct of arrival,CBF and MVDR compared with adjustable SNR)

说明：  InSAR数据处理研究，其中采用最小二乘和质量图指导两种相位解缠方法(The research of InSAR Data processing)

说明：  K-均值聚类算法，对数据进行聚类分析，可用于提取关键帧等。用matlab实现(K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve)

说明：  如题，matlab手写数字测试图像处理 样本（30+50个）加全代码加测试结果(Like title, matlab handwritten digital test image processing samples (30 + 50) plus full code plus test results)

今年刚更新的最新的工具箱SaliencyToolbox2.3.zip，做图像处理视觉注意力机制相关研究必备的工具。(This year has just updated the latest toolbox SaliencyToolbox2.3.zip, do image processing of visual attention mechanisms related research is an essential tool.)

通过低通滤波器，实现对图像的平滑处理，使得图像的对比度变低，具有膨胀的效果。(Low-pass filter, to achieve smoothing of the image, so that the image contrast is low, having an expansion effect.)

说明：  基于harris角点特征的图像配准程序 matlab实现(Harris corner on the characteristics of matlab image registration process to achieve)

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)