Main Reference PaperTexture Classification Using Refined Histogram, IEEE Transactions on Image Processing, May 2010.
  • This paper proposes a novel, efficient, and effective Refined Histogram (RH) for modeling the wavelet sub-band detail coefficients and presents a new image signature based on the RH model for supervised texture classification.

+ Description
  • This paper proposes a novel, efficient, and effective Refined Histogram (RH) for modeling the wavelet sub-band detail coefficients and presents a new image signature based on the RH model for supervised texture classification.

  • 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

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

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