AreaMeasure

利用非参数贝叶斯字典学习模型进行图像稀疏表示(use non-parametric-bayesian-dictionary-learning-for-sparse-image-representations)

对于vc++中经典的画线画图示例程序.对于类的控制和画线算法的实现.代码简洁明了(For vc++ in a classic example of procedures for drawing a line drawing. The type of control and painting line algorithm. Concise code)

图像分割源码，是一种基于图论的方法做的。分割的质量超好，不信的话下载下来看，你就清楚了！(Image segmentation source code, is a method based on graph theory to do. Segmentation quality is super good, do not believe it download the next run, you will be clear!)

指针仪表自动读数代码和工程halcon11源代码 软件，已经调试直接可以运行。压缩包中包含两张处理图像，便于学习改良。

说明：  基于相位一致性的边缘检测，可使用该函数获取频谱图像的边缘(Edge detection based on phase consistency)

说明：  基于L2范数的多帧图像超分辨率图像重建算法，在现有算法基础上改进计算精度和效率。(Based on the L2 norm of the multi-frame image super-resolution image reconstruction algorithm, on the basis of existing algorithms to improve computational accuracy and efficiency.)

数字图像处理代码,包括二值化,平滑,边缘检测等(Digital image processing code, including the binarization, smoothing, edge detection and so on)

局部二进制模式，LBP，是已被用于纹理特征的一个 分类。在本文中，提出了一种基于使用这些功能的方法 检测缺陷图案的面料。在培训阶段，在第一个步骤LBP算子是 施加到无缺陷织物样品，逐个象素和参考的所有的行（列） 特征矢量的计算。那么这个图像被分为Windows和LBP算子是 应用这些窗口的每一行（列）。根据与参考比较 特征向量一个合适的阈值，无缺陷的窗户被发现。在检测阶段中，一个 测试图像被划分成的窗户，并使用阈值时，有缺陷的窗口可以 检测到。该方法简单，灰度不变。由于其简单性， 线上实现是可能的。(Local Binary Patterns, LBP, is one of the features which has been used for texture classification. In this paper, a method based on using these features is proposed for detecting defects in patterned fabrics. In the training stage, at first step LBP operator is applied to all rows (columns) of a defect free fabric sample, pixel by pixel, and the reference feature vector is computed. Then this image is divided into windows and LBP operator is applied to each row (column) of these windows. Based on comparison with the reference feature vector a suitable threshold for defect free windows is found. In the detection stage, a test image is divided into windows and using the threshold, defective windows can be detected. The proposed method is simple and gray scale invariant. Because of its simplicity, online implementation is possible as well. )

数字图像处理中sobel算子的手写代码；canny手写代码；加噪声并滤波的调用库函数代码(Digital image using sobel & canny)

本程序能够实现图像处理中的图像细化，是基于matlab的。(This procedure can realize image processing image thinning is based on the matlab.)