3 results for “Blur identification”

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Research ArticleOpen accessIn the keywordsOut of Focus Blur Estimation Using Genetic AlgorithmMohsen E. MoghaddamIn this study, we have presented a method to estimate out of focus blur that works in noisy images precisely. The presented method has been designed based on two rough estimates of blur function parameters and then the real parameter has been calculated using a genetic algorithm. The structure of out of focus function was analyzed in frequency domain to … …Journal of Computer Science, Vol. 4, Issue 4 · 30 Apr 2008 · 6,918 accessesView PDF Cite

Research ArticleOpen accessIn the abstractBenchmarking Lightweight Deep Learning Models for Field Based Sorghum Leaf Disease DetectionPrince Daughin Ngqabutho NcubeSorghum is a climate-resilient cereal crop central to food and livelihood security across Southern Africa, yet its productivity is frequently reduced by foliar diseases that smallholder farmers struggle to diagnose reliably in the field. While deep learning has demonstrated strong potential for automated plant disease identification, sorghum remains underrepresented in the literature, and no prior study has provided a comprehensive, … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 535 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordEnhancing Kidney Stone Detection Accuracy Using Image Processing and a Hybrid Convolutional Deep Belief NetworkGeetha M. N, Barkathulla A, S. Nandhini Devi et al.Automated CKD is a rapidly expanding non-communicable ailment that significantly contributes to global mortality and morbidity. CKD impacts more than 10% of the worldwide population, leading to millions of deaths annually. This paper proposes an enhanced deep learning model for renal disease detection that integrates convolutional and involution layers to enhance classification accuracy. CKD is a worldwide health issue characterised … …Journal of Computer Science, Vol. 22, Issue 10 · 9 Oct 2026 · 749 accessesView PDF Cite