Content Based Image Retrieval (CBIR) (Paperback)

, ,
Image processing has become one of the most and fast growing fields. It has occupied an inevitable place in the industry. We also have worked in image processing, but, in a specific area of image retrieval. The purpose of this report is to describe the solution to the problem of designing a Content Based Image Retrieval, CBIR system. It outlines the problem, the proposed solution, the final solution that will be accomplished. Due to the enormous increase in image database sizes, as well as its vast deployment in various applications, the need for CBIR development arose. Firstly, this report outlines a description of the primitive features of an image, texture and color. These features are extracted and used as the basis for a similarity check between images. The report describes the implementation details through which the objective is going to be satisfied, (i.e.) the algorithms used to calculate the similarity between extracted features. The structure of the final software application is also illustrated. In short it would be a nice reading experience.

R1,298

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles12980
Mobicred@R122pm x 12* Mobicred Info
Free Delivery
Delivery AdviceShips in 10 - 15 working days


Toggle WishListAdd to wish list
Review this Item

Product Description

Image processing has become one of the most and fast growing fields. It has occupied an inevitable place in the industry. We also have worked in image processing, but, in a specific area of image retrieval. The purpose of this report is to describe the solution to the problem of designing a Content Based Image Retrieval, CBIR system. It outlines the problem, the proposed solution, the final solution that will be accomplished. Due to the enormous increase in image database sizes, as well as its vast deployment in various applications, the need for CBIR development arose. Firstly, this report outlines a description of the primitive features of an image, texture and color. These features are extracted and used as the basis for a similarity check between images. The report describes the implementation details through which the objective is going to be satisfied, (i.e.) the algorithms used to calculate the similarity between extracted features. The structure of the final software application is also illustrated. In short it would be a nice reading experience.

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

Lap Lambert Academic Publishing

Country of origin

Germany

Release date

August 2012

Availability

Expected to ship within 10 - 15 working days

First published

August 2012

Authors

, ,

Dimensions

229 x 152 x 3mm (L x W x T)

Format

Paperback - Trade

Pages

56

ISBN-13

978-3-659-17172-7

Barcode

9783659171727

Categories

LSN

3-659-17172-7



Trending On Loot