Unmanned aerial vehicle image stitching based on multi‐region segmentation by Weidong Pan, Anhu Li, Xingsheng Liu, Zhaojun Deng

“…Therefore, a novel image stitching method based on multi‐region image segmentation is proposed. …”
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Automatic Method for Segmentation of Fluorescent Images Obtained in the Near-Infrared Region by N. A. Obukhova, Xin Yang

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Development of neoplastic region selection algorithm based on breast cancer whole slide image by S. N. Rjabceva, V. A. Kovalev, V. D. Malyshev, I. A. Siamionik, M. A. Derevyanko, R. A. Moskalenko, A. S. Dovbysh, T. R. Savchenko, A. N. Romaniuk

“…Analysis of breast cancer whole-slide image is an extremely labor-intensive process. Histological whole slide images have the following features: a high degree of tissue diversity both in one image and between different images, hierarchy, a large amount of graphic information and different artifacts. …”
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The image of a political entity in the regional dimension: The specifics of formation and peculiarities of perception by public opinion by Alexander V. Tolochko, Sergey S. Fomenko

“…Practical recommendations are offered for optimizing strategies and technologies for improving the image characteristics of a political subject using PR communications, visual and verbal components available in the arsenal of practical politicians, which are offered to them by moderators of political image-making processes at the regional level. …”
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Restoration of Motion Blurred Images Based on Rich Edge Region Extraction Using a Gray-Level Co-Occurrence Matrix by Minghua Zhao, Xin Zhang, Zhenghao Shi, Peng Li, Bing Li

Subjects: “…Image processing…”
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Blur Feature Extraction Plus Automatic KNN Matting: A Novel Two Stage Blur Region Detection Method for Local Motion Blurred Images by Minghua Zhao, Dan Li, Zhenghao Shi, Shuangli Du, Peng Li, Jing Hu

“…First, blur feature discriminant criteria in frequency domain and spatial domain is defined to generate blur feature image; then, binarization is used on the blur feature image to obtain the coarse blur region detection map; subsequently, morphological methods are used to process the clear and blur areas and the trimap is obtained. …”
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Classification and segmentation of hip fractures in x-rays: highlighting fracture regions for interpretable diagnosis by Germán González, Joaquín Galant, José María Salinas, Emilia Benítez, Maria Dolores Sánchez-Valverde, Jorge Calbo, Nicolás Cerrolaza

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Automatic method of colposcopic multi-spectral images analysis for television systems diagnostics of cervical cancer by N. A. Obukhova, A. A. Motyko

Subjects: “…multi-spectral images processing…”
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Face Mask Wearing Detection Using Support Vector Machine (SVM) by Muhammad Nur Yasir Utomo, Fajrin Violita

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Using a Region-Based Convolutional Neural Network (R-CNN) for Potato Segmentation in a Sorting Process by Jaka Verk, Jernej Hernavs, Simon Klančnik

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Image processing for microprocessors TIM voids detection by Ting Ying Jiang, Mei-Hui Song, Zi-Ying Oh, Tong Liu

“…Common methods include Scanning Acoustic Microscopy (SAM) and X-ray Laminography, which provide detailed visualization of void distribution and structural defects.To automatically quantify void occupation within each rectangular shape die ROI (Region Of Interest), a traditional image processing-based void detection software has been developed. …”
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Crop row centerline extraction method based on regional feature point clustering by Baofeng Ji, Hang Wang, Chunhong Dong, Song Chen, Hongtao Chen, Fazhan Tao, Ji Zhang, Huitao Fan

“…To address the issues of low accuracy and high processing time in traditional machine vision methods for crop row detection due to varying crop types, growth backgrounds, and changes in the number of crop rows, this study proposes a crop row centerline extraction method based on regional feature point clustering. …”
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Region-Based Watermarking of Biometric Images: Case Study in Fingerprint Images by K. Zebbiche, F. Khelifi

“…In this paper, a novel scheme to watermark biometric images is proposed. It exploits the fact that biometric images, normally, have one region of interest, which represents the relevant part of information processable by most of the biometric-based identification/authentication systems. …”
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Detection of external defects on potatoes by hyperspectral imaging technology and image processing method by Su Wenhao, Liu Guishan, He Jianguo, Wang Songlei, He Xiaoguang, Wang Wei, Wu Longguo

“…The traditional classification method has low efficiency and poor objectivity, costs big labor intensity, and is difficult to identify shortcomings through it.In order to realize the accurate and fast classification of potatoes in the process of actual processing, various potatoes with external defects were detected in spectral region of 400 - 1 000 nm using hyperspectral image technology, and an online nondestructive testing method was established by principal component analysis of characteristic wavelengths and image subtraction algorithm.Six defective potato types (mechanical damage, hole, scab, surface bruise, sprout, green skin, normal) and one qualified potato type were used as the research objects in this study, and their hyperspectral images were obtained, respectively. …”
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Image Processing Using Feature-Based Segmentation Techniques for the Analysis of Medical Images by Christodoss Prasanna Ranjith, Krishnamoorthy Natarajan, Sindhu Madhuri, Mahesh Thylore Ramakrishna, Chandrasekhar Rohith Bhat, Vinoth Kumar Venkatesan

“…Image segmentation is a fundamental task in computer vision in which an image is divided into many regions or segments, each of which corresponds to a separate object or part of an item within the image. …”
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Three-Way Clustering Based on Digital Image Processing by Xiangjian Chen, Pingxin Wang

“…A three-way clustering algorithm based on image processing is proposed by combining blurring and sharpening operations in digital image processing. …”
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Arabidopsis Growth Simulation Using Image Processing Technology by Junmei Zhang, Qiuhong Ke, Ye Tian

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Image region semantic enhancement and symmetric semantic completion for text-to-image person search by Ting Tuo, Lijun Guo, Rong Zhang, Yirui Wang, Jiangbo Qian, Shangce Gao

“…Specifically, our approach comprises two main components: Image Region Semantic Enhancement (IRSE) and Symmetric Semantic Completion (SSC). …”
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The Image of the Modern Regional Leader: Network Analysis Results by D. I. Kaminchenko

“…The sign-symbolic level of political communication is considered on the example of the content-semantic filling of the image of a regional political leader.   The purpose of this research is to analyze the content of the political image of the leader and to identify the presence or absence of manifestation of the effect of networking in it.   …”
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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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