Face exposure using content based image retrieval: Computer Vision Techniques to the Image Retrieval

D, Magdalene Delighta Angeline; I, Samuel Peter James

ISBN 10: 6202516461 / ISBN 13: 9786202516464

Published by LAP LAMBERT Academic Publishing, 2020

About this Item

Seller Inventory # 26388781166

Bibliographic Details

• Title: Face exposure using content based image retrieval: Computer Vision Techniques to the Image Retrieval
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 6202516461
• ISBN 13: 9786202516464
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Content-Based Image Retrieval (CBIR) is a scaffold that can prevail over the above revealed crisis as it is based on the visual analysis of contents that are part of the query image. In this book, the features like shape, texture, edge, HSV colour are extracted after applying phone shading in order to flatter out the dull surface of the image, feature extracted values are used to find the similarity between input query image and the db image. It can be measured using Euclidean and quadratic distance formula. The image is ranked according to the minimum distance value. The advantage of CBIR over TBIR (Text-Based Image Retrieval) are among other image retrieval methods, CBIRl is an approach that exclusively relies on the visual features, such as color histogram, texture, shape, and so forth, of the images. One of the obvious advantages of CBIR over other method is that It can be done in a fully automatic process since the visual features are automatically extracted.