登入選單

返回Google圖書搜尋

A Neutrosophic Image Retrieval Classifier

A. A. SalamaMohamed EisaA. E. Fawzy

出版	Infinite Study
主題	Mathematics / Applied
URL	http://books.google.com.hk/books?id=TaLTDwAAQBAJ&hl=&source=gbs_api
EBook	SAMPLE

註釋

In this paper, we propose a two-phase Content-Based Retrieval System for images embedded in the Neutrosophic domain. In this first phase, we extract a set of features to represent the content of each image in the training database. In the second phase, a similarity measurement is used to determine the distance between the image under consideration (query image), and each image in the training database, using their feature vectors constructed in the first phase. Hence, the N most similar images are retrieved.