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A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…Among others, multilevel thresholding is a robust and most widely adopted image segmentation approach. To find the optimal multilevel threshold values, various heuristic and meta-heuristic algorithms have been applied to segment COVID-19 medical images. …”
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A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…Among others, multilevel thresholding is a robust and most widely adopted image segmentation approach. To find the optimal multilevel threshold values, various heuristic and meta-heuristic algorithms have been applied to segment COVID-19 medical images. …”
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Segmenting CT images of bronchogenic carcinoma with bone metastases using PET intensity markers approach
Published 2009“…The results show that the mean standard error for over segmented pixels is 33% while for the under segmented pixels is 3.4%. …”
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Enhanced image segmentation in thermal infrared image processing for faulty detection on broadcasting equipment / Mohd Rizman Sultan Mohd, Sukreen Hana Herman and Zaiton Sharif
Published 2018“…The data gathered from the system will undergo enhanced image segmentation method using k-means clustering with the implementation of histogram equalization for further image processing algorithm to detect the presence of hot spot. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis
