Visual-based defect detection and classification approaches for industrial applications—a survey

T Czimmermann, G Ciuti, M Milazzo, M Chiurazzi… - Sensors, 2020 - mdpi.com
This paper reviews automated visual-based defect detection approaches applicable to
various materials, such as metals, ceramics and textiles. In the first part of the paper, we …

A review of recent advances in surface defect detection using texture analysis techniques

X Xie - ELCVIA: electronic letters on computer vision and …, 2008 - raco.cat
In this paper, we systematically review recent advances in surface inspection using
computer vision and image processing techniques, particularly those based on texture …

Combining UAV-based vegetation indices and image classification to estimate flower number in oilseed rape

L Wan, Y Li, H Cen, J Zhu, W Yin, W Wu, H Zhu, D Sun… - Remote Sensing, 2018 - mdpi.com
Remote estimation of flower number in oilseed rape under different nitrogen (N) treatments
is imperative in precision agriculture and field remote sensing, which can help to predict the …

Tomato plant diseases classification using statistical texture feature and color feature

CS Hlaing, SMM Zaw - 2018 IEEE/ACIS 17th International …, 2018 - ieeexplore.ieee.org
Plant disease classification has been associated with the production of essential food crops
and human society. In this paper, we classify tomato plant disease using two different …

Sustainable upcycling of brewers' spent grain by thermo-mechanical treatment in twin-screw extruder

A Hejna, M Barczewski, K Skórczewska, J Szulc… - Journal of Cleaner …, 2021 - Elsevier
Thermo-mechanical treatment of brewers' spent grain (a by-product of beer manufacturing)
was successfully performed via the extrusion process. The impact of temperature (from 30 to …

Theoretical and experimental comparison of different approaches for color texture classification

F Bianconi, R Harvey, P Southam… - Journal of Electronic …, 2011 - spiedigitallibrary.org
Color texture classification has been an area of intensive research activity. From the very
onset, approaches to combining color and texture have been the subject of much …

A survey on unsupervised anomaly detection algorithms for industrial images

Y Cui, Z Liu, S Lian - IEEE Access, 2023 - ieeexplore.ieee.org
In line with the development of Industry 4.0, surface defect detection/anomaly detection
becomes a topical subject in the industry field. Improving efficiency as well as saving labor …

Enhancing green fraction estimation in rice and wheat crops: a self-supervised deep learning semantic segmentation approach

Y Gao, Y Li, R Jiang, X Zhan, H Lu, W Guo… - Plant …, 2023 - spj.science.org
The green fraction (GF), which is the fraction of green vegetation in a given viewing
direction, is closely related to the light interception ability of the crop canopy. Monitoring the …

A graph-based relevance feedback mechanism in content-based image retrieval

MK Kundu, M Chowdhury, SR Bulo - Knowledge-Based Systems, 2015 - Elsevier
Abstract Content-Based Image Retrieval (CBIR) is an important problem in the domain of
digital data management. There is indeed a growing availability of images, but unfortunately …

Color texture analysis: A survey

A Humeau-Heurtier - IEEE Access, 2022 - ieeexplore.ieee.org
In the field of image processing, texture features and color are fundamental visual cue with
complementary roles. They are used in many applications and in a large variety of areas …