Search - image retrieval MEANS

Search - image retrieval MEANS - List

[Graph program] K聚类 DL : 0: 基于K均值聚类的图像检索：用K均值聚类方法提取图像特征进行检索-K-means clustering - based Image Retrieval : K-means clustering method of extracting image features Search
Update : 2008-10-13 Size : 131.94kb Publisher : 吴成玉
[Graph program] K聚类 DL : 0: 基于K均值聚类的图像检索：用K均值聚类方法提取图像特征进行检索-K-means clustering- based Image Retrieval : K-means clustering method of extracting image features Search
Update : 2025-02-17 Size : 1.99mb Publisher : 吴成玉
[Special Effects] ImageRetrieval DL : 0: 毕业设计，基于内容的图像检索，支持的检索特征包括 sift,颜色直方图，灰度矩阵，HU不变矩，边缘方向直方图，检索方法使用K-means和K-D树两种，需要OPENCV支持，运行时请先选定一个文件夹来生成特征库，特征库用access数据库保存，只支持JPG文件-Graduate design, content-based image retrieval, search features, including support sift, color histogram, gray matrix, HU moment invariants, edge direction histogram, retrieval method using the K-means and KD trees are two kinds of needs OPENCV support Please select a runtime folder to generate the feature library, feature library with access database save, only supports JPG files
Update : 2025-02-17 Size : 351kb Publisher : 平天羽
[Software Engineering] matlab DL : 0: 基于图像内容检索的模糊c均值聚类，在matalb中的实现-Realization of fuzzy c-means clustering, based on image content retrieval in matalb
Update : 2025-02-17 Size : 39kb Publisher : yqy
[JSP/Java] CBIR DL : 0: Content based image retrieval in java using k-means clustering and haar wavelet transform
Update : 2025-02-17 Size : 5.19mb Publisher : hsaka
[Other] Image-retrieval-K---means-to-improve DL : 0: 简述了聚类的概念，提出K-means等聚类算法的基本概念，提出自适应的K-means算法-Introduced the concept of clustering, this paper puts forward the basic concept of clustering algorithms such as K- means, adaptive K- means algorithm is put forward
Update : 2025-02-17 Size : 6.25mb Publisher : 小王
[Special Effects] CBIR-system DL : 0: 随着计算机科技的发展，图像检索的应用也越来越成熟，根据检索性质可分为两类：基于文本的图像检索和基于内容的图像检索。本论文通过研究基于内容的图像检索中的几个核心算法，用于聚类分析的K-means算法，通过haar小波变换来提取图像底层视觉特征，以及使用F-范数理论来进行相似性度量，来设计一个离线的图像检索系统。(With the development of computer technology, the application of image retrieval is more and more mature. According to the nature of retrieval, they can be divided into two categories: text based image retrieval and content based image retrieval. This paper studies the core algorithm in content based image retrieval, K-means algorithm for clustering analysis, through Haar wavelet transform to extract image visual features, and using F- norm theory to similarity measure, image retrieval system to design an offline.)
Update : 2025-02-17 Size : 3.56mb Publisher : 笨笨熊笨笨