搜索资源列表
GAOXIAO
- 本资源介绍了一种高效的基于二值图像的连通域标记的算法-The resource based on a two value image connected component labeling algorithm is efficient
Fast-Connected-Component-Labeling
- 这里包括2015年论文利用游程集合的标号传播实现快速连通域标记的论文原文和源代码，有作者本人提供，检测二值图像的连通域，我们认为速度比其他算法快得多。-Fast Connected component labeling
tuxiangchuli
- 数字图像处理中计算连通域、连通域提取以及区域填充的程序，供大家参考！-Digital image processing computing connected domain, connected domain extraction and area filling procedures, for your reference!
myfaceRecognition
- 手写人脸检测代码，涉及膨胀腐蚀求最大连通域等一系列操作，望采纳-Handwriting face detection code, seeking a series of operations involving the largest expansion of corrosion connected domain, etc., looking to adopt
MinAreaFilter
- 用OPENCV中的序列实现将低于设定阈值面积的连通域从图像中去除的函数,输入输出图像需为二值图像.-With OPENCV in sequence implements will be lower than the set threshold value of the communication area removed the image domain function, for an input-output image is a binary image.
skin_detect
- 皮肤检测与克服光线影响的连通域寻找。皮肤检测主要是根据肤色在颜色空间上的分布特征来检测图像中的肌肤区域。-Skin Detection
For-binary-image-tag
- 这里列举二值图像连通域标记算法包括直接扫描标记算法和二值图像连通域标记快速算法-Here are binary image connected domain algorithm including direct scanning marking algorithm and binary image connected domain tags fast algorithm
zebrafish
- ，基于opencv进行一系列的形态学操作，得到斑马鱼的轮廓，通过计算连通域的像素个数确定斑马鱼的重心-get the location of zebrafish
opencv-liantongyu
- opencv实现连通域检测，可以标记处图片中的连通域。-opencv domain for connectivity detection. You can mark pictures connected domain.
moving-target-detection
- 灰度翻转，动态目标检测，连通域分析与标记，帧差法，膨胀和腐蚀-Gray flip, moving target detection, analysis and communication fields marked frame difference, expansion and corrosion
BWLabel
- 二值图像连通域分析，和MATLAB中bwlabel函数功能相似-Connected domain analysis of binary image, and bwlabel similar function in MATLAB
fengguo
- 采用基于连通域和垂直投影的方法对车牌号码进行分割，这是我做毕业设计时弄的，效果非常好。-Method based on connected domain and vertical projection segmentation of license plate number, this is I do graduation design, the effect is very good
text-line-detection
- 提取图像的mser（最大极值稳定区域）特征，进行连通域分析，然后闭运算，滤掉一部分的无关区域，最后保留满足条件的文本行，文本行的信息保存在rec_word-Extract image mser (maximum extremum stable region) characteristics of connected domain analysis, and then closed operation, part of the filter out irrelevant area, finally
find-bottle
- 本算法核心思想是基于matlab中数组模拟队列的连通域的搜索，应用与对未满瓶子的检测-The core idea of this algorithm is to search an array matlab simulation queue connected domain, application and based on the detection of full bottles
connection-two-methods
- connection的两种连通域方法，上传上去大家应该能看懂的，我从基础学的是能够看得懂，不懂得翻下书-The connection of the two methods of connected domain, uploaded you should be able to understand, I the foundation to learn is to be able to read, not understand through books
Image
- 自己编写的image类，包括连通域、二值化、角点提取等，用于项目！-I have written image categories, including domain connectivity, binary, corner detection, etc., for projects!
domain
- 用matlab实现是基于连通域分析的车牌定位，并形成GUI-use matlab to realize license plate locaton that is based on domain analysis and GUI
connection
- 关于提取连通域的两种方法，一种是基于种子法另外一种是二次扫描法-About extraction of connected components of two methods, one is based on a seed law is another secondary scanning
SimpleBlobDetector
- 二值图像的连通域分析，blob分析,用于定位连通域的位置，统计连通域的数量-Binary image connected component analysis, blob analysis
face_detec
- 实现最大连通域方法识别人脸,实现最大连通域方法识别人脸-Maximum connected domain method to recognize human faces