
Design of a Feature Descriptor for Content Based Image Retrieval
Image Retrieval
Meenakshi Garg(Author)
LAP Lambert Academic Publishing
Published on 4. January 2022
Book
Paperback/Softback
216 pages
978-620-4-20966-1 (ISBN)
Description
Content based image retrieval is a technique for retrieving similar images for a particular query image from a large image dataset. Different types of image have different features. Extracting image features according to the user requirement from the dataset is a difficult task in the present scenario. Many feature descriptors have been proposed for image retrieval in the past few years. Image retrieval based on the content relies heavily not only the type of descriptors, but on the steps taken further. Most of them stick to a particular type of images. So, a multipurpose image feature descriptor is the essential need of the present scenario which can be beneficial to the different kind of images.
More details
Language
English
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 13 mm
Weight
340 gr
ISBN-13
978-620-4-20966-1 (9786204209661)
Schweitzer Classification
Person
Dr. Meenakshi Garg (P.hd, UGC NET, M.Tech, MCA, PGDCA). Meenakshi Garg has Completed her P.hd from Chandigarh University, Mohali, MCA degree in Computer Applications from MDU University, Rohtak and M.Tech from KSOU University. She is Currently working as an Assistant Professor at Govt. Bikram College of Commerce, Patiala.