Local Tetra Pattern for Image Retrieval System Using Hadoop
| Author(s) | : | Mrs. Urvashi Trivedi, Mrs. Kishori Shekoker |
| Institution | : | Student of Mast er of engineering Department of C o m put er Engineering, Sigma Institute of Technology, V ad o da r |
| Published In | : | Vol. 2, Issue 13 — January 2015 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
In today's world, huge quantity of data, in the formof images, is produced through digital cameras, mobile phonesand photo editing software. It is important to develop newCBIR techniques which gives effective and scalable result forreal time processing of large image collections. Local tetrapattern (LTrP) is used for managing the large database. Thelocal ternary pattern and local binary pattern encode therelationship. LBP and LTP encodes the relationship betweenreferenced pixel and its surrounding neighbors by calculatinggray-level difference. Local Tetra Pattern (LTrP) whichcarries the interrelationship in between the center pixels andits surrounded neighbors of center pixel. The main objectiveof study is distribution of image data over a large number ofnodes over Hadoop using Map Reduce Technique. Hadoopdefines a framework which allows processing on distributedlarge sets across clusters of computer.
Mrs. Urvashi Trivedi, Mrs. Kishori Shekoker, “Local Tetra Pattern for Image Retrieval System Using Hadoop”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 13, pp. -, January 2015.
