Stereo Image Segmentation Based on Graph Cut and Visual Correlation by Qingyan Dai, Zhongjie Zhu

“…Stereo image segmentation is a crucial and difficult issue in the field of object-based stereo image processing.By improving the Grabcut algorithm and exploiting the inter-view correlations,a novel stereo image segmentation scheme was proposed.The original left image was firstly transformed into a super-pixel image by improving the Slic algorithm.Then the super-pixel image was segmented and the foreground object in the left image is extracted based on the framework of Grabcut,where the energy function was rebuilt.Finally,by exploiting the inter-view correlations between the left and the right images,the foreground object in the right image was obtained based on contour correspondence by fusing color and texture features.The experimental results show that the proposed algorithm is more efficient and can achieve better segmentation results than the existing methods.…”
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Stereo Image Segmentation Based on Graph Cut and Visual Correlation by Qingyan Dai, Zhongjie Zhu

“…Stereo image segmentation is a crucial and difficult issue in the field of object-based stereo image processing.By improving the Grabcut algorithm and exploiting the inter-view correlations,a novel stereo image segmentation scheme was proposed.The original left image was firstly transformed into a super-pixel image by improving the Slic algorithm.Then the super-pixel image was segmented and the foreground object in the left image is extracted based on the framework of Grabcut,where the energy function was rebuilt.Finally,by exploiting the inter-view correlations between the left and the right images,the foreground object in the right image was obtained based on contour correspondence by fusing color and texture features.The experimental results show that the proposed algorithm is more efficient and can achieve better segmentation results than the existing methods.…”
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Fast adaptive mode decision algorithm for H.264 based on spatial correlation by FENG Bin, LIU Wen-yu, ZHU Guang-xi

Subjects: “…image processing…”
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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…Comparative experiments are also conducted to assess and analyze the detection performance of the improved algorithm against other algorithms.This study mainly addresses the following aspectsConclusionsThis study mainly addresses and improves the issues of missed and false detections caused by large-scale variations, dense small target distributions, and complex backgrounds in UAV aerial images. …”
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Telescopes Alignment Using the Sharpness Function Method Based on Undersampled Images by Min Li, Xin Liu, Ang Zhang, Hao Xian

“…In astronomy, the images are sometimes undersampled. In the previous research works, image reconstructions have to be employed to recover the lost information from a set of undersampled images to achieve a high-resolution image using dithering or drizzle methods, which increase the complexity of alignment processes and make the real-time correction impossible. …”
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A Dynamic Mode Decomposition Based Edge Detection Method for Art Images by Chongke Bi, Ye Yuan, Ronghui Zhang, Yiqing Xiang, Yuehuan Wang, Jiawan Zhang

“…Edge detection is a widely used feature extraction method in various fields, such as image processing, computer vision, machine vision, and so forth. …”
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Improving Cell Detection and Tracking in Microscopy Images Using YOLO and an Enhanced DeepSORT Algorithm by Mokhaled N. A. Al-Hamadani, Richard Poroszlay, Gabor Szeman-Nagy, Andras Hajdu, Stathis Hadjidemetriou, Luca Ferrarini, Balazs Harangi

“…The proposed pipeline effectively extracts detailed information from structured image datasets, providing a reliable approximation of cellular processes in culture environments.…”
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Detection of <i>Aspergillus flavus</i> in Figs by Means of Hyperspectral Images and Deep Learning Algorithms by Cristian Cruz-Carrasco, Josefa Díaz-Álvarez, Francisco Chávez de la O, Abel Sánchez-Venegas, Juan Villegas Cortez

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A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example by I. D. Busov, M. A. Genaev, E. G. Komyshev, V. S. Koval, T. E. Zykova, A. Y. Glagoleva, D. A. Afonnikov

“…Analysis of hyperspectral images is of great interest in plant studies. Nowadays, this analysis is used more and more widely, so the development of hyperspectral image processing methods is an urgent task. …”
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Deep learning-based edge detection for random natural images by Kanija Muntarina, Rafid Mostafiz, Sumaita Binte Shorif, Mohammad Shorif Uddin

“…Edge detection plays a critical role in computer vision, particularly in the analysis of random natural images. It serves as a fundamental step in tasks such as image segmentation, shape extraction, pattern recognition, auto-navigation, and motion analysis, with applications spanning various domains including radar and sonar image processing. …”
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Kans-Unet Model and Its Application in Image Patch-Shaped Detection by Xingsu Li, Zhong Li, Jianping Huang, Ying Han, Kexin Zhu, Bo Hao, Junjie Song, Yumeng Huo

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BGIR: A Low-Illumination Remote Sensing Image Restoration Algorithm with ZYNQ-Based Implementation by Zhihao Guo, Liangliang Zheng, Wei Xu

“…The image is then adjusted using the gamma correction algorithm to make preliminary adjustments to the brightness and contrast of the whole image, and the S component is processed using segmented linear enhancement to obtain the base layer. …”
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Steganography based on parameters’ disturbance of spatial image transform by Xi SUN, Wei-ming ZHANG, Neng-hai YU, Yao WEI

“…In the research of state-of-the-art steganography algorithms,most of image sources were natural images in laboratory environment.However,with the rapid development of image process tools and applications,images after image processing were widely used in real world.How to use image process to improve steganography has not been systematically studied.Taking spatial image transform for consideration,a parameters’ disturbance model was presented,which could hide the noise taken by steganography in the pixel fluctuation due to the disturbance.Meanwhile,it would introduce cover source mismatch for a steganalyzer.The experimental results show that,compared with using traditional image database,it can significantly enhance the security of steganography algorithms and accommodative to the real world situation.…”
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GPU Accelerated Trilateral Filter for MR Image Restoration by Suthir Sriram, Nivethitha Vijayaraj, T. Srilekha, M. Praveena, Thangavel Murugan

“…A combination of texture-based image analysis with advanced computational algorithms powers the automated filtration process. …”
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Efficient Brain Tumor Segmentation for MRI Images Using YOLO-BT by Mengying Xiong, Aiping Wu, Yue Yang, Qingqing Fu

“…Aiming at the problems of inaccurate segmentation and low detection efficiency caused by irregular tumor shape and large size differences in brain MRI images, this study proposes a brain tumor segmentation algorithm, YOLO-BT, based on YOLOv11. …”
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Assessment of solar panel contamination via its image in Libya climate by A. A. Albagoush, A. B. Kupriyanov

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Offline visual aid system for the blind based on image captioning by Yue CHEN, Yu GUO, Yuanyan XIE, Zhenqiang MI

“…In view of the inconveniences of existing visual aid systems for the blind, the method of running the image captioning model on portable mobile devices based on model pruning was discussed.Model pruning techniques and image captioning models were reviewed.An improved model pruning algorithm for image captioning model was proposed.Experimental results show that, on the premise of ensuring accuracy, the image captioning model after pruning can greatly reduce processing time and power consumption capacity, and can quickly and accurately describe environmental information and voice broadcast anytime and anywhere.…”
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An objective measure for assessing the quality of contrast enhancement on magnetic resonance images by Simi Venuji Renuka, Damodar Reddy Edla, Justin Joseph

“…Post-processing algorithms like histogram equalization and its variants have been widely employed to enhance the contrast of Magnetic Resonance (MR) images. …”
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Image-based maturity detection for selective cauliflower harvesting in field condition by Ajay Kushwah, P.K. Sharma, H.L. Kushwaha, Brij Bihari Sharma, Naseeb Singh, Ramineni Harsha Nag, Manojit Chowdhury, Nrusingh Charan Pradhan, Gopal Carpenter, Silpa Mandal, Ali Salem

“…The developed detection system uses an RGB camera to capture images, which are then further processed to determine the diameter of the cauliflower. …”
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Full Vector Inversion of Magnetic Microscopy Images Using Euler Deconvolution as Prior Information by Gelson F. Souza‐Junior, Leonardo Uieda, Ricardo I. F. Trindade, Janine Carmo, Roger Fu

“…The algorithm follows a three‐step process: (a) employ image processing techniques to identify and isolate data windows for each magnetic source; (b) use Euler Deconvolution to estimate the position of each source; (c) solve a linear inverse problem to estimate the dipole moment of each source. …”
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