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Connected-component labeling (alternatively connected-component analysis, blob extraction, region labeling, blob discovery, or region extraction) is an algorithmic application of graph theory, where subsets of connected components are uniquely labele
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数字图像处理的各种处理,傅里叶变换,小波变换,滤波,阈值分割,特征提取-Various processing of digital image processing, the Fourier transform, wavelet transform, filtering, threshold segmentation, feature extraction
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主要是图像处理和边界提取,以及边界跟踪和图像分割的c++源代码,可以直接加载-The main image processing and edge extraction, and boundary tracking and segmentation of c++ source code can be directly loaded
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读取文件,各种经典的图像处理算法,滤波、边缘提取、阈值分割、图像匹配等。-Read the file, a variety of classic image processing algorithms, filtering, edge extraction, threshold segmentation, image matching.
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1. 在GUI中,实现图像的阈值分割(交互式、迭代法)、区域生长。
2. 在GUI中,,实现二值图像的膨胀、腐蚀, 比较'结构元素类型为:square,line, diamond, disk等的区别。
3. 在GUI中,实现二值图像的开运算、闭运算。
4. 在GUI中,实现二值图像的形态学应用:
边界抽取 (boundary extraction)
区域填充 (region filling)
细化 (thinning)
粗化 (thickening)
骨架 (skeletons)
修剪 (pr
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用STM32F4芯片自带的DCMI摄像头接口驱动不带FIFO的OV7725摄像头,实现60HZ刷新率。imgprcs.c文件中包含大量的适用于嵌入式设备的高速图像处理算法,包括边缘提取、区域分割、颜色识别等等,全部使用自适应算法,适合不同光照和环境条件(With STM32F4 chip comes with DCMI camera interface driver without FIFO OV7725 camera, to achieve 60HZ refresh rate. The img
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帮助新手入门halcon,学习二维图像处理的基本方法,从分割图像到--形态学处理--特征提取---图像匹配整个过程的讲解(The basic method of learning two-dimensional image processing is to help novice halcon, from segmentation image to - morphological processing - feature extraction - image matching the whole
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基于图理论动态规划算法的OCT图像边界分割算法,边界提取效果好(OCT image boundary segmentation algorithm based on graph theory and dynamic programming algorithm, the boundary extraction effect is good)
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使用特征提取与模板匹配方法识别数字验证码,预处理阶段包括验证码图像灰度化、二值化、去噪,去噪使用RGB三原色法,验证码字符分割采用自适应分割方法,最后提取单个验证码图像特征值,与模板库字符进行匹配识别(The use of feature extraction and template matching method of digital identification verification code, verification code preprocessing consists of i
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1.首先单击载入图像菜单项(载入车辆图像),图像在images文件夹下面。
2.然后单击车牌定位与识别单项,依次进行车牌提取、倾斜校正、字符分割、字符识别。
注:本程序使用的是OpenCV2.1版本(First click the load image menu item(load the vehicle image), which is under the images folder.
2. The license plate extraction, tilt correction, c
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对图像中的车牌进行车牌区域提取、字符分割、自动识别(The area extraction, character segmentation and automatic recognition of the license plate in the image)
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