A comprehensive review of fruit and vegetable classification techniques
Recent advancements in computer vision have enabled wide-ranging applications in every
field of life. One such application area is fresh produce classification, but the classification of …
field of life. One such application area is fresh produce classification, but the classification of …
Machine‐learning‐assisted intelligent imaging flow cytometry: A review
Imaging flow cytometry has been widely adopted in numerous applications such as optical
sensing, environmental monitoring, clinical diagnostics, and precision agriculture. The …
sensing, environmental monitoring, clinical diagnostics, and precision agriculture. The …
[HTML][HTML] From BoW to CNN: Two decades of texture representation for texture classification
Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …
is one of the essential and challenging problems in computer vision and pattern recognition …
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 …
LBP-based edge-texture features for object recognition
This paper proposes two sets of novel edge-texture features, Discriminative Robust Local
Binary Pattern (DRLBP) and Ternary Pattern (DRLTP), for object recognition. By …
Binary Pattern (DRLBP) and Ternary Pattern (DRLTP), for object recognition. By …
OD-LBP: Orthogonal difference-local binary pattern for Face Recognition
S Karanwal, M Diwakar - Digital Signal Processing, 2021 - Elsevier
Most of the local descriptors exists today are based on the relationship between the
neighborhood pixels and the center pixel by considering the 3× 3 spatial window. Moving …
neighborhood pixels and the center pixel by considering the 3× 3 spatial window. Moving …
BRINT: binary rotation invariant and noise tolerant texture classification
L Liu, Y Long, PW Fieguth, S Lao… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
In this paper, we propose a simple, efficient, yet robust multiresolution approach to texture
classification-binary rotation invariant and noise tolerant (BRINT). The proposed approach is …
classification-binary rotation invariant and noise tolerant (BRINT). The proposed approach is …
Generalized completed local binary patterns for time-efficient steel surface defect classification
Efficient defect classification is one of the most important preconditions to achieve online
quality inspection for hot-rolled strip steels. It is extremely challenging owing to various …
quality inspection for hot-rolled strip steels. It is extremely challenging owing to various …
LBP-based segmentation of defocus blur
Defocus blur is extremely common in images captured using optical imaging systems. It may
be undesirable, but may also be an intentional artistic effect, thus it can either enhance or …
be undesirable, but may also be an intentional artistic effect, thus it can either enhance or …