Main Reference PaperTexture Classification Using Refined Histogram, IEEE Transactions on Image Processing, May 2010.
  • Aim of this project is to identify the object present in an image through analysis of texture involved in the image using Refined Histogram (RH) in which features are extracted and similarity between features are identified.

+ Description
  • Aim of this project is to identify the object present in an image through analysis of texture involved in the image using Refined Histogram (RH) in which features are extracted and similarity between features are identified.

  • To provide an efficient and supervised texture classification through the use of RH signatures.

+ Aim & Objectives
  • To provide an efficient and supervised texture classification through the use of RH signatures.

  • Similarities between signatures are measured using Symmetrized Kullback–Leibler Divergence (SKLD) scheme

+ Contribution
  • Similarities between signatures are measured using Symmetrized Kullback–Leibler Divergence (SKLD) scheme

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, J2SE

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, J2SE

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.