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188 results for “Segmentation”
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Research ArticleOpen accessEvery word in the titleRange Image Segmentation by Randomized Region Growing and Bayesian Edge RegularizationSmaine Mazouzi, Mohamed BatoucheWe presented and evaluated a new Bayesian method for range image segmentation. The method proceeds in to stages. First, an initial segmentation was produced by a randomized region growing technique. The produced segmentation was considered as a degraded version of the ideal segmentation, which should be then refined. In the second stage, image pixels not labeled in the first stage … …Journal of Computer Science, Vol. 3, Issue 5 · 31 May 2007 · 6,924 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSmart Harvesting Decision System for Date Fruit Based on Fruit Detection and Maturity Analysis Using YOLO and K-Means SegmentationMohamed Ouhda, Zarouit Yousra, Brahim AksasseThe date palm (Phoenixdactylifera) is a large palm with exotic fruits measuring up to 30 metersin height. The date palm produces fruits rich in nutrients provides a multitudeof secondary products, and generates income necessary for the survival of alarge population. Losses attributed to manual harvesting encompass bothquantitative and qualitative aspects, with the latter measured throughattributes such as appearance, taste, texture, … …Journal of Computer Science, Vol. 19, Issue 10 · 9 Sep 2023 · 5,813 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSegmentation of Ureteric and Bladder Calculi in Ultrasound ImagesS. SridharProblem statement: The framework for segmenting calculi in ureter and bladder using ultrasound images is proposed in this study. Calculi are due to abnormal collection of certain chemicals like oxalate, phosphate and uric acid. These calculi can be present in kidney, urethra or in urinary bladder. The extraction of calculi in medical images is a difficult task as no standard … …Journal of Computer Science, Vol. 8, Issue 5 · 27 Feb 2012 · 6,917 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBrain Tumor Segmentation and Classification Using HardNet Transformer With Gated Recurrent Unit ModelSaida D, Srinivas Adepu, Thade Lakshmi Devi et al.The uncontrolled growth of brain tumor cells presents a severe health risk, making early diagnosis and accurate classification essential for improving treatment outcomes. However, the existing approaches used for segmentation fail to delineate the tumor regions accurately due to a lack of global contextual information of brain tumors, resulting in poor classification performance. To overcome this limitation, this research proposes … …Journal of Computer Science, Vol. 22, Issue 9 · 26 Sep 2026 · 630 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMCWDRL: Multi-Cloud Workflow Scheduling Using Deep Reinforcement Learning and Improved Workflow Segmentation for Multi-Cloud EnvironmentsS. Gowri, A. SumathiThe rapid growth of cloud computing has led to complex workflow scheduling challenges in multi-cloud environments, where efficient resource utilization, minimized makespan, and reduced costs are paramount. Traditional scheduling algorithms often struggle to adapt to the dynamic nature of cloud resources and workflows, leading to suboptimal performance. To overcome this issue, the paper proposed a novel Multi-Cloud Workflow Scheduling using … …Journal of Computer Science, Vol. 22, Issue 6 · 1 Jul 2026 · 933 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptiCNN: Local thresholding segmentation and CNN with SVM Approach for Diabetic Retinopathy Detection and Classification of Fundus ImagesAnju Mishra, Mrinal Pandey, Laxman SinghDiabetic Retinopathy (DR) is a progressive eye disease that can lead to vision loss and blindness if left untreated. Ophthalmologists diagnose DR using medical imaging modalities such as fundus photography and optical coherence tomography (OCT); however, manual interpretation of these images is time-consuming and subject to inter-observer variability. While DR is irreversible, vision loss can be prevented through early detection … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,153 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnaphora Resolution in Thai EDU SegmentationAuthapon Kongwan, Siti Sakira Kamaruddin, Farzana Kabir AhmadHuman knowledge is mostly in the form of unstructured text. Text can be transcribed into various languages such as the Thai language. To extract knowledge from Thai text, natural language tasks such as word segmentation, Elementary Discourse Unit (EDU) segmentation, and anaphora resolution is the needed tasks. Some interesting phenomena such as non-referential anaphora and the ellipsis of the owner … …Journal of Computer Science, Vol. 18, Issue 4 · 5 May 2022 · 6,065 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDetection of Rotten Fresh-Cut Cauliflowers based on Machine Vision Technology and Watershed Segmentation MethodJianxin Xue, Liang Huang, Bingyu Mu et al.In this study, machine vision technology was used to separate the samples and detect the rotting degrees of fresh-cut cauliflowers. First, the improved watershed algorithm was used for the segmentation of fresh-cut cauliflower samples and the extraction of single-sample. Then, three color models, a gray co-occurrence matrix and two feature extraction algorithms were used to extract the color, texture and … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 2 · 13 Apr 2022 · 6,083 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleClassification Program and Story Boundaries Segmentation in TV News Broadcast Videos via Deep Convolutional Neural NetworkMounira Hmayda, Ridha Ejbali, Mourad ZaiedGiven the amount of video information on the net, the user has had difficulty finding the information in a reasonable amount of time. Thus, all video content must be segmented and annotated so that he/she can access the information directly. The goal of the proposed approach is to allow a better exploitation of video by multimedia services (TV-On- Demand, catch-up … …Journal of Computer Science, Vol. 16, Issue 5 · 14 May 2020 · 7,743 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStudy of Segmentation Technique and Stereology to Detect PCO Follicles on USG ImagesUntari Novia Wisesty, Irba Fairuz Thufailah, Ria May Dewi et al.Polycystic Ovary Syndrome is a hormonal health problem in women who are in the reproductive period. One feature of this syndrome is that there are 12 or more follicles in the ovary with a diameter of 2-9 mm. This syndrome can cause menstrual cycles problems and even a problem in conceiving a child. Currently, follicle detection is still done manually … …Journal of Computer Science, Vol. 14, Issue 3 · 13 Mar 2018 · 8,772 accessesView PDFCite