Wood Defect Classification Based on Two-Dimensional Histogram Constituted by LBP and Local Binary Differential Excitation Pattern

Shaoli Li,Weiqi Yuan,Dejian Li

doi:10.1109/access.2019.2945355

Shaoli Li, Weiqi Yuan + Show 1 more

Open Access

https://doi.org/10.1109/access.2019.2945355

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Abstract

A classification algorithm based on LBP and local binary differential excitation pattern is presented for the classification of the crack and the linear mineral line on the surface of the birch veneer. The local binary differential excitation pattern (LB_DEP) is a texture description model proposed in this paper, which is generated by the combination of LBP and Weber's Law and describes the incidence relation between the image texture and the human visual perception. And the feature extracted by LB_DEP is expressed in a one-dimensional histogram. Then we establish a two-dimensional (2D) histogram constituted by the one-dimensional (1D) histogram of LBP and LB_DEP after being normalized and consolidated. Finally, the 2D histogram is used to classify the defects with Euclidean distance classifier. In addition, we establish an automatic optical inspection system for the birch ice cream bar. We also conduct the experiments with the images captured by the system. The results demonstrate that, compared with the state-of-the-art methods, our proposed algorithm can provide a better classification effect for the crack and the mineral line-the Recall, Precision and FNR are 0.930, 0.943 and 0.070 respectively. And the time consumption is 0.1416 s, which belongs to the millisecond level as with the compared methods.

Highlights

Wood strength plays an important role in the wood products
WOOD DEFECT CLASSIFICATION METHOD BASED ON 2D HISTOGRAM CONSTITUTED BY LBP AND LB_DEP we present a classification method based on the 2D histogram constituted by LBP and local binary differential excitation pattern for the cracks and the mineral lines
Inspired by the successfully applied of the differential excitation, we introduce it to the wood defect classification

Summary

Introduction

Wood strength plays an important role in the wood products. Especially crack defects will have an adverse impact on wood strength. Crack is a serious defect on the wood surface, which changes the physical structure of the wood, affects wood’s mechanical properties, damages the toughness and impact resistance of the wood, and endangers the quality, safety and service life of the wood products seriously. The detection of the crack becomes the most important content in the area of wood defect detection. The ice cream bar is a common and widely used wood product, which is the handle of ice cream and often made up of birch. The structure of an ice cream bar is shown, which is a rectangular wood veneer.

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