抽象的

Implementation of Cyclostationary Process Analysis in Search Retrieval for Precious Recognition

Tohid Sedghi

In CBIR, local features play a significant role in determining the similarity of images along with the shape information of the objects so this reason encourage authors to apply local features in literatures. One of the famous shapes features are one-dimensional normalized contour sequence moments which extracted from Gradient Vector Flow fields are used to compute the edge image, which will capture the object shape information. GVF fields give excellent results in determining the object boundaries irrespective of the concavities involved. In addition, Other Shape feature such as Hu Moments and edge histogram are not as efficient as GVF Fields because in mentioned shape feature extraction methods omits useful information which decrease retrieval percentage

索引于

化学文摘社 (CAS)
谷歌学术
打开 J 门
学术钥匙
研究圣经
引用因子
宇宙IF
开放学术期刊索引 (OAJI)
参考搜索
哈姆达大学
印度科学网
学者指导
国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
宇宙
日内瓦医学教育与研究基金会
秘密搜索引擎实验室

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