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[SCM] 边缘检测与分割处理 DL : 1: 程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象-code P0401 Note : Prewitt operator to detect the edges in the image P0402 : different values of Getting operator to detect the edges in the image P0403 : Canny operator to detect the edges in the image P0404 : image thresholding segmentation P0405 : water line threshold method image segmentation P0406 : matrix Quadtree P0407 : images into text and non-text of the two categories P0408 : morphological gradient detection Binary Image Edge P0409 : morphology example-- Images from the PCB to remove all current lines, retaining only chip targets
Date : 2025-12-22 Size : 45kb User : tian
[SCM] 4Matlab DL : 0: 程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象- Procedure code explanation P0401: Examines the picture with the Prewitt operator the edge P0402: Examines the picture with the different sigma value LoG operator the edge P0403: Examines the picture with the Canny operator the edge P0404: Picture threshold value division P0405: Divides the picture with the water line threshold value law P0406: Carries on to the matrix four forks the tree decomposition P0407: Divides into the writing and the non- writing two categories the picture P0408: The morphology gradient examines two values pictures the edge P0409: The morphology example 鈻♀枴deletes all electricity streamline from the PCB picture, only retains the chip object
Date : 2025-12-22 Size : 40kb User : xueke
[SCM] test01Canny DL : 0: DM6437开发板上验证TI提供的VLIB库函数，canny算子验证-test canny
Date : 2025-12-22 Size : 582kb User : mayanxuan
[SCM] The-detection-of-traffic-lights DL : 1: 交通信号灯的检测是复杂场景下交通灯识别的重点。采用了色彩分割与关联滤波方案进行交通灯的检测。首先，建立交通信号灯的高斯模型，利用高斯向量与多色彩空间结合的方法进行图像分割。然后，采用基于区域增长与相似性判定的关联滤波，对色彩分割后的图像进行处理。最后，使用基于canny算子的边缘提取算法获取方向指示灯轮廓特征，并使用基于改进hu不变矩和马氏距离对方向指示信号灯进行分类。-The detection of traffic lights is the focus of traffic lights recognition in complex scenes. Using color segmentation and the associated filtering scheme, the detection of traffic lights. First, the Gaussian model to establish the traffic lights, the use of Gaussian vector with multi-color space for image segmentation. Then, using the associated filter, based on regional growth and the similarity determination processing of the image color segmentation. Finally, the canny operator edge extraction algorithm to obtain the direction indicator profile feature, and use the classification based on improved hu moment invariants and the Mahalanobis distance directional signal lights.
Date : 2025-12-22 Size : 13kb User : 谷文彦