Porosity Amount Estimation in Stones Based on Combination of One Dimensional Local Binary Patterns and Image Normalization Technique
arXiv:1810.05922v1
Originality Synthesis-oriented
AI Analysis
This work addresses surface defect detection for materials analysis, but appears incremental as it builds on existing texture analysis methods.
The paper tackled the problem of estimating porosity amount in stones by combining one-dimensional local binary patterns with an image normalization technique, but the abstract does not provide concrete results or numbers.
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.