Search - Image segmentation

Search - Image segmentation - List

[Video Capture] goodCanny DL : 0: 图像分割的经典算法CANNY算法的源代码，很实用-the classic image segmentation algorithm Canny algorithm source code, practical
Date : 2008-10-13 Size : 4.46kb User : 元辉
[Video Capture] goodCanny DL : 0: 图像分割的经典算法CANNY算法的源代码，很实用-the classic image segmentation algorithm Canny algorithm source code, practical
Date : 2025-12-13 Size : 4kb User : 元辉
[Video Capture] wanglibei DL : 0: 视频对象分割的主要目的是通过一系列连续图像帧中抽取感兴趣的对象，把视频表示成一个视频对象，为基于对象的编码和基于对象的表达提供技术支持。-The main purpose of the video object segmentation through a series of continuous image frames to extract the object of interest, said the video into a video object, object-based coding and object-based expression to provide technical support.
Date : 2025-12-13 Size : 15kb User : hai
[Video Capture] video-detection DL : 0: 针对室内环境多运动目标的复杂性，本文提出了基于图像块近似连通性的图元分割方法。-The complexity of multiple moving objects in indoor environment, this paper proposes to approximate the connectivity graph based on the image segmentation method.
Date : 2025-12-13 Size : 1.92mb User : 王佳琪
[Video Capture] image-process-detects-smoke DL : 0: 结合实际火灾烟雾图像，设计实现了HIS空间图像分割算法-Actual fire smoke images, design and implementation of the HIS space image segmentation algorithm
Date : 2025-12-13 Size : 4.21mb User : 王佳琪
[Video Capture] GMM DL : 0: 针对摄像机固定下的复杂背景环境，对采集到的视频图像的图像数据用混合高斯背景建模方法实现前景/背景分割，实现运动目标检测和跟踪。在进行前景检测前，先对背景进行训练，对图像中每个背景采用一个混合高斯模型进行模拟，每个背景的混合高斯的个数可以自适应。然后在测试阶段，对新来的像素进行GMM匹配，如果该像素值能够匹配其中一个高斯，则认为是背景，否则认为是前景。由于整个过程GMM模型在不断更新学习中，所以对动态背景有一定的鲁棒性。最后通过对一个有树枝摇摆的动态背景进行前景检测，取得了较好的效果。-For complex background environment under fixed camera, the image data captured video images using Gaussian mixture background modeling method implementation foreground/background segmentation, detecting and tracking moving objects. Before foreground detection, the first training background, the background of each image using a Gaussian mixture model to simulate the number of each Gaussian mixture background adaptively. Then in the testing phase, the pixels on the new GMM match, if the pixel value is able to match one of the Gaussian, then that is the background, otherwise considered a prospect. Since the whole process is continuously updated GMM model in the study, so the dynamic context of a certain robustness. Finally, on a tree swing dynamic background foreground detection, achieved good results.
Date : 2025-12-13 Size : 4.94mb User : axin
[Video Capture] ucam_helloV480_60_full DL : 0: Code for scan an image with a segmentation algorithm, and found patrons or shapes
Date : 2025-12-13 Size : 5kb User : brians
[Video Capture] clust.py.tar DL : 0: this is clustering based on image segmentation in python and opencv.
Date : 2025-12-13 Size : 1kb User : VISHAL LONARKAR