Exploring a multi-path U-net with probability distribution attention and cascade dilated convolution for precise retinal vessel segmentation in fundus images by Ruihong Zhang, Guosong Jiang

“…Abstract While deep learning has become the go-to method for image denoising due to its impressive noise removal Retinal blood vessel segmentation presents several challenges, including limited labeled image data, complex multi-scale vessel structures, and susceptibility to interference from lesion areas. …”
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DO-MDS&DSCA: A New Method for Seed Vigor Detection in Hyperspectral Images Targeting Significant Information Loss and High Feature Similarity by Liangquan Jia, Jianhao He, Jinsheng Wang, Miao Huan, Guangzeng Du, Lu Gao, Yang Wang

“…Hyperspectral imaging for seed vigor detection faces the challenges of handling high-dimensional spectral data, information loss after dimensionality reduction, and low feature differentiation between vigor levels. …”
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Application of satellite images and object-oriented processing in land use/land cover map extraction to model ecosystem services (case study: Lorestan province) by Zahra Asadolahi, Mostafa Keshtkar, Zia Badehian

“…While the pixel-based method is based on the classification of numerical values of images, object-oriented image processing is more accurate in the classification process, due to the use of spectral information, texture, and content information, being widely used in all sectors including environmental sciences. …”
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Dedicated hardware architecture for localizing iris in VW images by Vineet Kumar, Abhijit Asati, Anu Gupta

“…The algorithm used is suitable for less unconstrained and frontal-view iris images captured with subjects’ active participation; however, the images may contain non-ideal issues such as reflection and occlusion by eyelids and eyelashes.…”
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Spectral Fingerprinting of Tencha Processing: Optimising the Detection of Total Free Amino Acid Content in Processing Lines by Hyperspectral Analysis by Qinghai He, Yihang Guo, Xiaoli Li, Yong He, Zhi Lin, Hui Zeng

“…This achievement not only provides a scientific basis for the tea processing sector but also opens new avenues for the application of hyperspectral imaging technology in food science.…”
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A Geometric Approach to Estimate Background in Astronomical Images by Pushpak Pandey, Kanak Saha

“…Our algorithm performs well compared to conventional methods in estimating the background even in crowded field images. …”
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Optimal deep learning based vehicle detection and classification using chaotic equilibrium optimization algorithm in remote sensing imagery by Youseef Alotaibi, Krishnaraj Nagappan, Tamilvizhi Thanarajan, Surendran Rajendran

“…Vehicle detection and classification using RSIs is a vital application of computer vision and image processing. It contains locating and identifying vehicles from the image. …”
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A Comparative Study for Localization of Forgery Regions in Images by Mustafa Ozden, Canberk Sahin

“…By leveraging the combined strengths of traditional image processing techniques and advanced deep learning algorithms, the proposed method demonstrates superior capability in detecting manipulated regions in forged images, thus offering a robust solution for applications in forensic field.…”
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Normalization of Multifocal Acoustic Radiation Force Impulse Images by Nuria GONZÁLEZ-SALIDO, Jorge CAMACHO

“…Since the acoustic radiation force depends on focus depth, axial distance and steering angle, a normalization process is required before blending multi-focal ARFI images so that changes in the displayed displacements represent true tissue elasticity variations. …”
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The Comparison of Diffeomorphic Images Based on the Construction of Persistent Homology by Sergey N. Chukanov

“…An object shape analysis is a problem that is related to such areas as geometry, topology, image processing and machine learning. For analyzing the form, the deformation between the source and terminal form of the object is estimated. …”
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Multi-convolutional neural network brain image denoising study based on feature distillation learning and dense residual attention by Huimin Qu, Haiyan Xie, Qianying Wang

“…Medical image denoising is particularly important in brain image processing. …”
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SIMULATION RESULTS OF SPECKLE SUPPRESSION IN RADAR WITH SYNTHETIC APERTURE by R. N. Akinshin, V. L. Rumyantzev, A. V. Peteshov

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A global object-oriented dynamic network for low-altitude remote sensing object detection by Daoze Tang, Shuyun Tang, Yalin Wang, Shaoyun Guan, Yining Jin

“…Abstract With advancements in drone control technology, low-altitude remote sensing image processing holds significant potential for intelligent, real-time urban management. …”
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Comparison of Tree Typologies Mapping Using Random Forest Classifier Algorithm of PRISMA and Sentinel-2 Products in Different Areas of Central Italy by Eros Caputi, Gabriele Delogu, Alessio Patriarca, Miriam Perretta, Giulia Mancini, Lorenzo Boccia, Fabio Recanatesi, Maria Nicolina Ripa

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Active Reinforcement Learning for the Semantic Segmentation of Urban Images by Mahya Jodeiri Rad, Costas Armenakis

“…Image segmentation using supervised learning algorithms usually requires large amounts of annotated training data, while urban datasets frequently contain unbalanced classes leading to poor detection of under-represented classes. …”
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Attention-Based Color Difference Perception for Photographic Images by Hua Qiang, Xuande Zhang, Jinliang Hou

“…Traditional color difference (CD) measurement methods cannot adapt to large sizes and complex content of photographic images. Existing deep learning-based CD measurement algorithms only focus on local features and cannot accurately simulate the human perception of CD. …”
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Small Scale Multi-Object Segmentation in Mid-Infrared Image Using the Image Timing Features–Gaussian Mixture Model and Convolutional-UNet by Meng Lv, Haoting Liu, Mengmeng Wang, Dongyang Wang, Haiguang Li, Xiaofei Lu, Zhenhui Guo, Qing Li

“…To enhance safety monitoring during the grazing prohibition and rest period of grassland, this paper proposes a multi-object segmentation algorithm based on mid-infrared images for all-weather surveillance. …”
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Comparative Analysis of Traditional and Deep Learning Approaches for Underwater Remote Sensing Image Enhancement: A Quantitative Study by Yunsheng Ma, Yanan Cheng, Dapeng Zhang

“…This study compares a multi-scale fusion-enhanced physical model and deep learning algorithms to optimize intelligent processing. The physical model, based on the Jaffe–McGlamery model, integrates multi-scale histogram equalization, wavelength compensation, and Laplacian sharpening, using cluster analysis to target enhancements. …”
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A Novel Entropy-Based Approach for Thermal Image Segmentation Using Multilevel Thresholding by Thaweesak Trongtirakul, Karen Panetta, Artyom M. Grigoryan, Sos S. Agaian

“…This paper introduces a novel adaptive unsupervised entropy algorithm (A-Entropy) to enhance multilevel thresholding for thermal image segmentation. …”
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DEVELOPMENT OF A VIDEO PROCESSING MODULE FOR THE TASK OF AIR OBJECT RECOGNITION BASED ON THEIR CONTOURS by Valentyn Yesilevskyi, Anton Koliadin, Olena Sereda

“…In the work, the following methods are used: methods of digital image processing, methods of filtering and semantic segmentation of images, methods of graph analysis. …”
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