资源列表
fast-edge
- canny算法 纯c语言实现 无需其他非标准c链接库 -canny algorithm pure c language without other non-standard c-link library
siftDemoV4
- 图像匹配 sift算法实现 match直接调用函数即可 -sift image matching algorithm
Source_code
- 可实现多种图像处理算法的源代码 ，例如滤波，直方图统计，边缘检测，有可视化界面，功能强大-Can achieve a variety of image processing algorithm source code, such as filtering, histogram, edge detection, there is a visual interface, powerful
hog_feature_vector
- The given code finds the HOG feature vector for any given image. HOG feature vector/descr iptor can then be used for detection of any particular object. -The given code finds the HOG feature vector for any given image. HOG feature vector/desc
24290-tech
- Using adaboost with linear threshold classifier for a two class classification problem.-Using adaboost with linear threshold classifier for a two class classification problem.
bianyuanjiance
- 各种边缘检测算子的检测效果的比较，特别是拉普拉斯算子的展示-Effect comparison of detection of various edge detection operator, especially the Laplace operator
Edge_detec_C_ASM
- 用Prewitt边缘算子检测图像边缘，该程序用C语言和汇编语言混合实现。-Prewitt edge detection operator used to detect the image edge, hybrid implementation of the program in C and assembly language.
matlab-code
- 边缘检测法和阈值分割法，是图像分割技术应用中两项重要的方法。本文介绍了图像边缘检测和阈值分割的一般原理、典型算法以及研究现状。本文针对边缘检测算子和几种阈值分割技术进行了详细讨论。针对火柴根数统计和钢筋根数统计两个实验，在详细分析检测原理的基础上，编写了相应的实验并给出了实验结果。-Edge detection and thresholding method, image segmentation is an important technology in two ways. This arti
GDIPlus2.0
- GDIPlus类2.0 使用系统DLL绘制漂亮的WINDOWS窗口-GDIPlus class 2.0
adaption_light
- 基于对数的光照自适应算法 光照补偿,对于光照较暗和较亮，能够进行自动判断。自动补偿光照。-Logarithmic light based on adaptive algorithm of illumination compensation, for the light brighter and darker, and can automatically judge. Automatic compensation of light.
GVFSnake
- 改进的GVF Snske代码，可以对提取的边缘进一步逼近，取得更接近真实边界的效果。-Improved GVF Snske code, you can extract the edge further approximation, get closer to the true boundary effects.
SEED--GROW
- 区域生长代码，人工选择种子点，利用8邻域像素进行生长，最终提取出目标区域。-Growing area code, artificial selection seeds, use eight neighborhood pixels growth, and ultimately extract the target area.