灰度图像边缘检测

vc编写的比撒曲线-vc prepared than spreading curve

用于图像处理函数类-for Image Processing Functions

matlab 科学计算与可视化程序集。几百个小程序供初学者掌握matlab的科学计算十分有帮助。-matlab scientific computing and visualization of the assembly. Hundreds of small programs for beginners to master the scientific computing matlab very helpful.

利用hough变换来进行圆形检测.Function uses Standard Hough Transform to detect circles in a binary image.According to the Hough Transform for circles, each pixel in image space corresponds to a circle in Hough space and vise versa. upper left corner of image is the origin of coordinate system.-Using hough transform for circle detection. Function uses Standard Hough Transform to detect circles in a binary image.According to the Hough Transform for circles, each pixel in image space corresponds to a circle in Hough space and vise versa. Upper left corner of image is the origin of coordinate system.

BMP和LCD控制 单片机上如何显示BMP的例子 -BMP and LCD MCU control how the example shown BMP

This file gives hopefully a complete set of instructions for installing and running the example application MonoSLAMGlow which uses the SceneLib libraries for real-time SLAM. -hopefully This file gives a complete set of instructions for installing and running the ex ample application which uses the MonoSLAMGlow SceneLib libraries for real-time SLAM.

程序的目的是要实现动态画出多边形，可以进行移动、旋转、放缩几何变换和动画，并可以填充-procedures are designed to achieve dynamic draw polygons that can be mobile, rotating and scaling geometric transformation and animation, and can be filled

运用MFC框架，做的一个模拟CAD系统。基本功能完备，是练习MFC框架的好例子。-MFC application framework, to do a simulation CAD system. Complete basic functions, is to practice a good example of MFC framework.

目标检测的好程序，利用OpenCV和VC++编程，是目前比较流行的方法，效果很好的源码！-A good target detection procedures, the use of OpenCV and VC++ Programming, is currently the more popular methods, the effect of a very good source!

对于一些图像来说，常用的边缘检测算法有时候无法设立合适的阈值将它们的梯度较小的模糊边缘检测出来。为了解决这个问题，有两种解决方法：将图像方差标准化，拉大模糊边缘的梯度值，或通过设置sigmoid函数，将像素所在区域的信息传递到梯度值中去，对其进行调整，就能找到合适阈值，有效地将模糊边缘提取出来。本程序把这两种算法实现并与与传统算法进行了比较。-For some images, the commonly used edge detection algorithm sometimes can not be an appropriate threshold for the gradient of their smaller fuzzy edge detected. To solve this problem, there are two solutions: the image variance standardization, widening the fuzzy edge of the gradient value, or by setting the sigmoid function pixel region to disseminate the message to the gradient values to adjust, on the can find a suitable threshold, effectively extracted fuzzy edge. This procedure of these two algorithms with the traditional algorithm.