An Enhanced Image retrieval Technique based on EdgeOrientation Technique

Abstract

With the tremendous development in Networking and Multimedia technologies, Image Retrieval plays significant roleand is used for browsing, searching and retrieving images from a large database of digital images. Image Retrieval techniques utilize annotation methods of adding metadata such as captioning, keywords or descriptions to the images. The manual image annotation is much time consuming laborious and expensive.As the data bases size increases, annotation becomes a tedious task. Thus automatic image annotationhas drawn the attention of the researchers in recent years.. The increase in social web application and the semantic web drawn attention of researchers in the development of several web-based image retrieval tools. This paper presents an easy, efficient image retrieval approach using a new image feature descriptor called Micro-Structure Descriptor (MSD). The microstructures are defined based on an edge orientation similarly while the MSD is built based on the underlying colors in micro-structures with similar edge orientation.In this method of Image retrieval the MSD extracts features by simulating human’s early visual processing by effectively integrating color, texture, color lay out information and shape. The proposed MSD algorithm has high indexing performance and low dimensionalityas it has only 72 dimensions for full color images.The technique is examined on Corel datasets with natural images; the results demonstrate that this image retrieval method is much more efficient and effective than reprehensive feature descriptors, such as Gabor features and Multi Texton Histograms.

Authors and Affiliations

Ch. Sushmitha| M.Tech Student, Dept of CSE , SRK Institute of Technology, Vijayawada, AP, India. E-mail: susmithachirumamilla9@gmail.com, Dr. D. Haritha| HOD, Dept of CSE, SRK Institute of Technology, Vijayawada, AP, India. Email: haritha@rediffmail.com

Keywords

Related Articles

A Modified Gradient Boosting Trees Methods To Transform Social Networking Features Into Embeddings

We propose a novel answer for cross-webpage cool start item suggestion, which expects to prescribe items from online business sites to clients at long range informal communication destinations in "frosty begin" circu...

Scheduling Cached-Content in Wireless Networks With Elastic and Inelastic Traffic

With the exponential growth of wireless content access, the need for content placement and scheduling at wireless base stations increased rapidly. We study a system under which users are divided into clusters based o...

Fast Keyword Search Assumption In The Random Oracle (RO) Model

This proposes searchable public key ciphertexts with hidden structures (SPCHS) for keyword seek as quickly as conceivable without giving up semantic security of the encoded keywords. In SPCHS, all keyword searchable...

3D Modelling & Detailing of Silumin Piston With Static Analysis

Piston is the part of engine which converts heat and pressure energy liberated by fuel combustion into mechanical work. Engine piston is the most complex component among the automotives. Weight reduction has been gai...

Synchronization of Grid Connected PV System Using PI Controller

Grid connected solar system consists of converters Circuits are organized in two different ways one is DC/DC boosters and another is PWM Inverter. This combination results decrement of Quality and efficiency of elect...

Download PDF file
  • EP ID EP16718
  • DOI -
  • Views 305
  • Downloads 10

How To Cite

Ch. Sushmitha, Dr. D. Haritha (2016). An Enhanced Image retrieval Technique based on EdgeOrientation Technique. International Journal of Science Engineering and Advance Technology, 4(1), 26-33. https://europub.co.uk/articles/-A-16718