A Completed Modeling of Local Binary Pattern Operator for Texture Classification
A completed modeling of the LBP operator is proposed and an associated completed LBP (CLBP) scheme is developed for texture classification. A local region is represented by its center pixel and a local difference sign-magnitude transform (LDSMT). The center pixels represent the image gray level and they are converted into a binary code, namely CLBP-Center (CLBP_C), by global thresholding. LDSMT decomposes the image local differences into two complementary components: the signs and the magnitudes, and two operators, namely CLBP-Sign (CLBP_S) and CLBP-Magnitude (CLBP_M), are proposed to code them. The traditional LBP is equivalent to the CLBP_S part of CLBP, and we show that CLBP_S preserves more information of the local structure than CLBP_M, which explains why the simple LBP operator can extract the texture features reasonably well. By combining CLBP_S, CLBP_M, and CLBP_C features into joint or hybrid distributions, significant improvement can be made for rotation invariant texture classification.
ClickMyProject Specifications
|
|
|
Including Packages
|
|
Specialization
|
|
|
* Supporting Softwares |
|
* 24/7 Support |
|
* Complete Source Code |
|
* Ticketing System |
|
* Complete Documentation |
|
* Voice Conference |
|
* Complete Presentation Slides |
|
* Video On Demand * |
|
* Flow Diagram |
|
* Remote Connectivity * |
|
* Database File |
|
* Code Customization ** |
|
* Screenshots |
|
* Document Customization ** |
|
* Execution Procedure |
|
* Live Chat Support |
|
* Readme File |
|
* Toll Free Support * |
|
* Addons |
|
|
|
* Video Tutorials |
|
|
|
|
|
|
|
*- PremiumSupport Service (Based on Service Hours) ** - Premium Development Service (Based on Requirements) |

|
This product was added to our catalog on Wednesday 21 September, 2016.