superresolution_v_2[1].0

利用matlab编程技术将灰度图像归一化到0-255范围内(Normalize the image to 0-255)

各种图像质量评价方法，非常适合图像的客观质量评价。(All kinds of image quality uation method, it is very suitable for objective image quality uation.)

牛顿环的干涉条纹，灰度图，含有反射图样和透射图样(Newton' s rings interference fringes, grayscale, with reflection and transmission pattern pattern)

对特征值进行非极大值抑制的角点检测，并且选用了合适的阈值加强检测效果(corner detection by non-maxima suppression of Eigenvalues and selected the appropriate threshold to enhance detection)

本文首先概述了独立成分分析与盲信号分离， 主成分分析的关系， 然后系统地介绍了该技术的基本概念和数据模型， 对现今比较流行的各种独立成分分析算法进行了剖析和总结。最后对独立成分分析的发展及应用前景作了展望(In this paper, an overview of independent component analysis and blind signal separation, principal component analysis of the relationship, and then systematically introduces the basic concept of the technology and data models for today' s more popular variety of independent component analysis algorithm is analyzed and summarized. Finally, independent component analysis of the development and application prospects are described)

说明：  对线激光相机标定，使用matlab编程，里面带有数据集，写好的函数。(Calibration of line laser camera, programming with MATLAB)

说明：  ：基于主动轮廓识别和被动轮廓识别方法各自的优缺点，提出结合主动和被动的方法，先对图像进行被动轮廓的预处理，然 后再应用主动轮廓的方法，通过比较选出Canny算子进行预处理，再通过基于概率的方法分割图像，最后再应用Snake模型进行 轮廓提取。并取得较好的应用。(: Identification Based on Active Contour and passive contour recognition advantages and disadvantages of each method, proposed method of combining active and passive, passive first outline of the image pre-processing before applying the active contour method, by comparing the pre-selected Canny operator treatment, and then through the image segmentation method based on probability, and finally application of Snake model for contour extraction. And get better application.)

说明：  对于低照度图像，或是模糊不清的雾天，雨天等图像，本算法都能很好的恢复它的清晰度(For the low illumination images, or blurring of the fog, rain and other images, the algorithm can be very good clarity to restore it)

压缩感知 图形图像 图像处理 数据恢复 代码(Data recovery of compressed sensing image image processing)

使用Gabor小波对图像进行特征提取，代码可以直接使用(Using the Gabor wavelet feature extraction, the code can be used directly)