Article
Environmental Sciences
Zefeng Zhao, Zhuang Zhou, Yunting Lai, Tenghui Wang, Shujie Zou, Haohao Cai, Haijun Xie
Summary: This paper proposes a fusion-based image enhancement method to overcome the limitations of existing color correction and deblurring algorithms. By using two novel image processing methods, adaptive channel deblurring and color correction, the proposed method can effectively improve the quality of underwater images by correcting color casts and enhancing details.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Computer Science, Information Systems
Sanjay Agrawal, Rutuparna Panda, P. K. Mishro, Ajith Abraham
Summary: A novel joint histogram equalization (JHE) based technique is proposed in this research to improve the contrast of an image by utilizing the information among each pixel and its neighbors. The experimental analysis shows that this method outperforms the state-of-the-art histogram equalization algorithms in contrast enhancement, even for images with a narrow dynamic range.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Chemistry, Multidisciplinary
Jaeeun Lee, Jongnam Kim
Summary: A method based on image histogram is proposed for quality inspection of 3D film images, which calculates the width of pixels for a specific height and classifies them based on a threshold. Experimental results show that the position of the height section of the image histogram achieves the highest classification accuracy. The proposed method demonstrates excellent classification accuracy for 3D film image classification compared to conventional algorithms.
APPLIED SCIENCES-BASEL
(2023)
Article
Optics
Bin Liang, Dongdong Weng, Ziqi Tu, Le Luo, Jie Hao
Summary: This study addresses the issue of specular components in face images by introducing a high-resolution Asian face dataset based on polarization characteristics, and developing a multi-task GAN approach for joint specular removal and intrinsic decomposition. Experimental results demonstrate the significant performance advantage of our method in face image processing.
Article
Forestry
Zhengguang Wang, Zilong Zhuang, Ying Liu, Fenglong Ding, Min Tang
Summary: The study introduced machine vision technology and unsupervised learning technique to reduce labor costs and improve production efficiency through feature vector extraction and data dimension reduction for color classification. Texture recognition was achieved based on color classification, enhancing the quality stability of solid wood panels.
Article
Chemistry, Analytical
Daniel Coelho, Lucas Dal'Col, Tiago Madeira, Paulo Dias, Miguel Oliveira
Summary: This research aims to eliminate texture seams in texture mapping of 3D models through color correction. Two improvements are proposed: a pairwise-based method and a filtering process utilizing 3D information. The proposed approach outperforms other methods qualitatively and quantitatively, enhancing the visual quality of textured meshes significantly.
Article
Computer Science, Information Systems
Zhongjian Xu, Muhammad Ahsan Latif, Syed Shaham Madni, Ammar Rafiq, Iqbal Alam, Muhammad Asif Habib
Summary: This research aims to provide a simple image processing technique for detecting and distinguishing agricultural goods in drone-based agrarian imagery. By using fuzzy reasoning-based tactics combined with RGB and HSV color spaces, the method successfully detects and distinguishes agricultural objects such as white cotton bolls from the rest of the image using cotton crop images as experimental data.
Article
Computer Science, Artificial Intelligence
Ilija Domislovic, Donik Vrsnak, Marko Subasic, Sven Loncaric
Summary: In this paper, a new large-scale publicly available color constancy dataset called Shadows & Lumination dataset is introduced. The dataset consists of 2500 minimally processed images from various indoor, outdoor, and night-time scenes. Unlike other datasets, it includes real-world images with two illuminants for multi-illuminant estimation, along with binary segmentation masks dividing the image into regions illuminated by each illuminant. The paper also benchmarks illumination estimation methods and image segmentation methods using the dataset.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Biology
Joseph C. Waddell, Angel A. Caputi
Summary: Some fish use electrotaxis to approach conspecifics by analyzing the characteristics of electric organ discharges and can determine the gender of conspecifics to find a mate. They encode multiple messages in the same self-generated communication signal carrier, which is likely a common and successful strategy across evolutionary lineages.
JOURNAL OF EXPERIMENTAL BIOLOGY
(2021)
Article
Chemistry, Analytical
Crislaine Bertoldi, Larissa Z. Lara, Adriano A. Gomes, Andreia N. Fernandes
Summary: The study developed a simple procedure to determine the abundance of microplastics using digital image processing and chemometric treatment, showing potential to quantify microplastics based on their color, which can help reduce time-consuming and subjective future analyses.
MICROCHEMICAL JOURNAL
(2021)
Article
Computer Science, Information Systems
Jaeeun Lee, Hongseok Choi, Jongnam Kim
Summary: A recent development in marketing tools involves the use of three-dimensional pattern films to boost sales. However, evaluating the quality of these films has been challenging. To address this, researchers propose an algorithm that leverages histogram information to accurately classify 3D pattern films as either 'good' or 'bad', achieving high accuracy in experiments.
Review
Computer Science, Artificial Intelligence
Shuo Meng, Ruru Pan, Weidong Gao, Benchao Yan, Yangyang Peng
Summary: This paper provides a comprehensive review of recent research on automatic recognition of woven fabric structural parameters, highlighting the drawbacks of manual operations based on human eyes and experiences and the advantages of computer-vision-based automatic methods. It offers insights for researchers in the textile industry to understand and utilize automated methods effectively.
ARTIFICIAL INTELLIGENCE REVIEW
(2022)
Article
Polymer Science
Sebnem S. Arpaci, Eylem D. Tomak, Mahmut A. Ermeydan, Ibrahim Yildirim
Summary: This study investigated the natural weathering behavior of sixteen different wood species under the same conditions for a year, showing that the surfaces of pine, maple, and tulip samples experienced the darkest and greatest color changes, while walnut, A. walnut, and oak samples showed the least color changes. High-density wood species demonstrated more stability against color changes, while there was no significant correlation between density and roughness or gloss property changes.
POLYMER DEGRADATION AND STABILITY
(2021)
Article
Computer Science, Information Systems
Rituporna Dowerah, Sanjeev Patel
Summary: In this study, a CBIR model using Color Histogram and Local Binary Pattern (LBP) was presented. The model utilized Microservices architecture with Docker platform. The experimental results showed that the CBIR model using LBP outperformed the one using Color Histogram in detecting various weather conditions. It was also found that adopting Microservices architecture significantly improved the non-functional qualities of the CBIR system compared to traditional architecture styles.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Mathematics
Eduardo Fragoso-Navarro, Manuel Cedillo-Hernandez, Francisco Garcia-Ugalde, Robert Morelos-Zaragoza
Summary: This paper proposes a novel reversible data hiding approach that enhances the image by automatically selecting multiple hiding ranges in the histogram, overcoming some limitations of traditional methods. Experimental results demonstrate that this method achieves better performance in terms of embedding capacity and image quality.
