State of the art in defect detection based on machine vision

Z Ren, F Fang, N Yan, Y Wu - International Journal of Precision …, 2022 - Springer
Abstract Machine vision significantly improves the efficiency, quality, and reliability of defect
detection. In visual inspection, excellent optical illumination platforms and suitable image …

Image matching from handcrafted to deep features: A survey

J Ma, X Jiang, A Fan, J Jiang, J Yan - International Journal of Computer …, 2021 - Springer
As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

Median robust extended local binary pattern for texture classification

L Liu, S Lao, PW Fieguth, Y Guo… - … on Image Processing, 2016 - ieeexplore.ieee.org
Local binary patterns (LBP) are considered among the most computationally efficient high-
performance texture features. However, the LBP method is very sensitive to image noise and …

Local binary features for texture classification: Taxonomy and experimental study

L Liu, P Fieguth, Y Guo, X Wang, M Pietikäinen - Pattern Recognition, 2017 - Elsevier
Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …

A review of texture classification methods and databases

P Cavalin, LS Oliveira - 2017 30th SIBGRAPI Conference on …, 2017 - ieeexplore.ieee.org
In this survey, we present a review of methods and resources for texture recognition,
presenting the most common techniques that have been used in the recent decades, along …

Robust texture image representation by scale selective local binary patterns

Z Guo, X Wang, J Zhou, J You - IEEE Transactions on Image …, 2015 - ieeexplore.ieee.org
Local binary pattern (LBP) has successfully been used in computer vision and pattern
recognition applications, such as texture recognition. It could effectively address grayscale …

A performance evaluation of local features for image-based 3D reconstruction

B Fan, Q Kong, X Wang, Z Wang… - … on Image Processing, 2019 - ieeexplore.ieee.org
This paper performs a comprehensive and comparative evaluation of the state-of-the-art
local features for the task of image-based 3D reconstruction. The evaluated local features …

Local directional ternary pattern: A new texture descriptor for texture classification

A Chahi, Y Ruichek, R Touahni - Computer vision and image …, 2018 - Elsevier
In this paper, the three level descriptions from LTP and the directional features from LDP are
combined to form a new local feature descriptor, referred to as local directional ternary …

A novel method for detecting morphologically similar crops and weeds based on the combination of contour masks and filtered Local Binary Pattern operators

VNT Le, S Ahderom, B Apopei, K Alameh - GigaScience, 2020 - academic.oup.com
Background Weeds are a major cause of low agricultural productivity. Some weeds have
morphological features similar to crops, making them difficult to discriminate. Results We …

A robust triangular sigmoid pattern-based obstacle detection algorithm in resource-limited devices

VD Nguyen, TD Trinh, HN Tran - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Object detection and classification are key processes in advanced driver-assistance
systems. The existing object detection and classification methods are effective in normal …