Porosity Amount Estimation in Stones Based on Combination of One Dimensional Local Binary Patterns and Image Normalization Technique

TL;DR

This paper proposes a method combining one-dimensional local binary patterns with image normalization to estimate porosity in stones, aiming to improve surface defect detection accuracy.

Contribution

It introduces a novel combination of 1D local binary patterns and normalization techniques for porosity estimation in stones.

Findings

Enhanced accuracy in porosity estimation

Effective surface defect detection in stones

Improved texture analysis performance

Abstract

Since now, many approaches has been proposed for surface defect detection based on image texture analysis techniques. One of the efficient texture analysis operations is local binary patterns which provides good accuracy.