Description: 在matlab环境下，结合c语言，给出了常用三种图像处理的代码：灰度图像边缘检测，K-L变换，图像的统计直方图。-In the matlab environment, the combination of c language, given the commonly used three types of image processing code: gray-scale image edge detection, KL transform, the image histogram statistics. Platform: |
Size: 1024 |
Author:nana |
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Description: 检测图像的边缘：
用Prewitt算子检测图像的边缘
，用不同σ值的LoG算子检测图像的边缘
，用Canny算子检测图像的边缘
，图像的阈值分割
，用水线阈值法分割图像
，对矩阵进行四叉树分解
，将图像分为文字和非文字的两个类别
，形态学梯度检测二值图像的边缘
，形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象
-Image edge detection: edge detection using Prewitt edge images, with different σ value Log Operators image edge detection using Canny operator image edge detection, image thresholding, water line thresholding segmentation images, of the matrix quadtree decomposition, the image is divided into text and non-text of two categories, the morphological gradient detection of the edge binary image, morphology examples- from PCB image delete all current lines, retaining only the target chip Platform: |
Size: 40960 |
Author:张悦庭 |
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Description: 数字图像处理边缘检测程序，直接在MATLAB中运行即可-Digital image processing, edge detection process can be run directly in MATLAB Platform: |
Size: 4096 |
Author:宋飞 |
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Description: 边缘检测1.制作一张包括色块、线条的单色背景图片，先对其作低通滤波产生一幅色块和线条边缘模糊的降质图片待处理，采用任意二种边缘检测算法检测待处理图片中的色块和线条的边缘，得到二值化的处理结果图。从结果图中提取色块和线条的边界坐标值，与实际生成原始图像时采用的真实坐标数据作比较，对产生的检测误差作分析。2.拍摄一张包含待检测物体的黑白或者彩色照片，试采用一种边缘检测的算法做待检测物体的自动提取，对生成的结果作分析。-Edge Detection 1. To produce a including blocks of color lines color the background picture, the first of its low-pass filter for a color blocks and lines produced lower quality images fuzzy edges to be processed, using any two edge detection algorithm to detect when processing in the image blocks of color and line the edge of the two values are the result of the treatment plan. Extracted from the results map the boundary blocks of color and line coordinates, the original image and the actual generated coordinate data used to compare the true, and on the detection of error for analysis. 2. Take a test to be included black and white or color photographs of objects, try using a edge detection algorithm on automatic extraction of objects to be detected, the results generated for analysis. Platform: |
Size: 661504 |
Author:tosh |
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