chonggou

本文针对目前图像特效处理的需求，主要研究几种基本的数字图像处理算法，以达到人们所期待得到的各种不同的效果。并在基于Windows系统的Visual C++6.0集成开发环境下，生成BMP位图文件并对其进行读取，使用VC编码实现这些算法。编写程序在BMP位图文件中画出各种图像，例如：三角型，圆，正弦函数图。在点运算处理中介绍了灰度化处理，算法设计原理是将输入像素点的灰度值通过算法实现改变其相应输出点的灰度值。在图像增强中，介绍了图形的平滑和图像的锐化算法，其算法的设计原理是根据一个固定小区域的几个像素灰度值设置某个像素的灰度值，通常有其固定模板。 本文具体给出了这些算法的设计思想及算法描述，并通过程序实现。最后将其效果图与原始图像进行了比较。 (In this paper, the image effects to deal with the current demand for basic research in several digital image processing algorithms in order to achieve what people expect different result. And Windows-based system, Visual C++6.0 integrated development environment to generate BMP bitmap file and read them using VC coding to implement these algorithms. Write a program to draw a variety of graphics in BMP bitmap file, example: triangle, circle, sine function diagram. Point arithmetic processing grayscale processing, algorithm design principle is the value of the input pixel gray value of the corresponding output point algorithm change. Enhancement of the image on the smooth graphics and image sharpening algorithm. The design principle of the algorithm is based on a fixed number of small regions of a pixel value of gray-scale pixel value, usually a fixed template. In this paper, given the specific design of these algorithms and the algorithm description, and program . Finally, the effect o)

亮度代表了图像的明暗程度，颜色代表了图像的色度，它包含了色调和饱和度。这个代码可以自动对这三个参数进行调整。(Brightness represents the degree of image brightness, color represents the color image, which includes hue and saturation. This code can be automatically adjusted to the three parameters.)

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. )

C# 批量转换图片格式 实例 附完整源码

最小二乘相位解包裹算法，基于快速傅里叶变换(Least-squares algorithm for phase unwrapping)

剪切波是最近几年发展的图像处理的有利工具，这是几篇不错的论文，希望可以对大家有所帮助。(Shear wave is the last few years the development of image processing tool, this is a few good paper, hope to help everyone.)

Hessian FUNCTION HESSIAN

基于除法模型的鱼眼图像校正代码，包含摄像机内参和畸变参数在内的5个参数，无需进行填补空洞的操作。(Based fisheye image correction code division model, including internal camera and distortion parameters, including five parameters, without the need for filling voids operation.)

基于MRI的脑组织分割。首先从给定的MRI图像中得到脑区域，而后计算脑容积；再得到脑白质灰质区域，并计算百分比。(Given an MRI scan, first segment the brain mass from the rest of the head, then determine the brain volume. Also compare portions of gray and white matter present. )

传统的HSV空间颜色特征提取算法，量化为8H3S3V.(HSV color space for the traditional feature extraction algorithm, to quantify 8H3S3V.)