TEXTURE CLASSIFICATIONBY LOCAL BINARY PATTERN& COMPLETED LOCAL BINARY PATTERN
Journal: International Education and Research Journal (Vol.3, No. 2)Publication Date: 2017-02-15
Authors : A. A. Chavan Asst.Mrs.S.S. Patil;
Page : 62-63
Keywords : Texture descriptors; local binary pattern (LBP); feature extraction; texture classification;
Abstract
Texture analysis is important in many applications of computer image analysis for classification or segmentation of images based on local spatial variations of intensity or color.The proposed analysis of texture classification characteristics with local binary pattern (LBP) and an associated completed LBP (CLBP).A successful classification or segmentation requires an efficient description of image texture. In this system, image features of database images will be extracted using LBP & CLBP descriptor. These extracted features in the form of histogram will be given to SVM classifier and depending on no. of accurately classified images; results will be shown in graph.
Other Latest Articles
- EFFECTIVENESS OF SELF-INSTRUCTIONAL MODULE ON KNOWLEDGE REGARDING EBOLA VIRUS DISEASE AND ITS MANAGEMENT AMONG STAFF NURSES
- KNOWLEDGE FRAMEWORK BUILDING OF “CHEMICAL PROCESS AND EQUIPMENT” COURSE
- A MULTIOBJECTIVE OPTIMIZATION TECHNIQUE FOR CARPOOLING USING GENETIC ALGORITHM ON ANDRIOD
- GUI BASED QUERYING AND MIGRATION APPROACH FOR MONGODB
- PROMISES OF SOCIAL MEDIA ENABLED LEARNING IN EDUCATION
Last modified: 2022-04-21 17:49:59