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 …
detection. In visual inspection, excellent optical illumination platforms and suitable image …
Image matching from handcrafted to deep features: A survey
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 …
then correspond the same or similar structure/content from two or more images. Over the …
Median robust extended local binary pattern for texture classification
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 …
performance texture features. However, the LBP method is very sensitive to image noise and …
Local binary features for texture classification: Taxonomy and experimental study
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 …
widely studied local texture descriptors. Truly a large number of LBP variants has been …
A review of texture classification methods and databases
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 …
presenting the most common techniques that have been used in the recent decades, along …
Robust texture image representation by scale selective local binary patterns
Local binary pattern (LBP) has successfully been used in computer vision and pattern
recognition applications, such as texture recognition. It could effectively address grayscale …
recognition applications, such as texture recognition. It could effectively address grayscale …
A performance evaluation of local features for image-based 3D reconstruction
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 features for the task of image-based 3D reconstruction. The evaluated local features …
Local directional ternary pattern: A new texture descriptor for texture classification
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 …
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
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 …
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
Object detection and classification are key processes in advanced driver-assistance
systems. The existing object detection and classification methods are effective in normal …
systems. The existing object detection and classification methods are effective in normal …