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243 results for “Image Analysis”
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Research ArticleOpen accessEvery word in the titleAnalysis of the Relationship between Physical Self-Concept and Body Image Dissatisfaction in Female StudentsSirus Alipoor, Ali Moazami Goodarzi, Maryam Zarra Nezhad, Lale ZaheriProblem statement: Body image is a psychological construct which refers to self-concept including self image and feelings an individual perceives about his or her body. Body image can significantly affect the way an individual perceives about his or her body. Studies on relationship between physical self-concept and body image in some countries showed that the women's body dissatisfaction has led … …Journal of Social Sciences, Vol. 5, Issue 1 · 31 Mar 2009 · 10,349 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Adaptive Detail Preserving Modified Progressive Pca Thresholding Based Image DenoisingN. Anilkumar, S. Radhakrishnan, Shaik Syed Basha et al.Radiologists use medical imaging tools to assess the anatomy and function of interior organs. However, medical images are frequently distorted by various types of noise generated during the capture, transmission, and reconstruction operations, which can dramatically reduce image quality and hide critical diagnostic features. As a result, developing effective denoising algorithms that suppress noise while maintaining structural information remains a … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 529 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Detailed Preserving Medical Image Denoising Using Cluster-Wise PCA Thresholding and Iterative Mean FilteringMohit Sharma, Ayush Dogra, Anita Gupta et al.Image denoising is a vital process in medical imaging that involves removing noise or distortions introduced during image acquisition. Random noise can degrade image quality and reduce contrast, making accurate analysis more challenging. This paper presents a detail-preserving medical image denoising framework based on a hybrid methodology that combines cluster-wise Principal Component Analysis (PCA) thresholding with Iterative Mean Filtering (IMF). … …Journal of Computer Science, Vol. 22, Issue 4 · 18 Apr 2026 · 1,787 accessesView PDFCite
Research ArticleOpen accessIn the keywordsReal-Time Endoscopic Image Semantic Segmentation for Efficient Polyp IdentificationM. Al-AsliThe advancement of endoscopic procedures has significantly enhanced diagnostic capabilities in polyp identification and removal, which is critical for colorectal cancer prevention. However, the success of these procedures hinges on the accuracy and speed of real-time image analysis. Traditional image processing methods often fail to provide timely and precise segmentation of endoscopic images. This paper presents the implementation of endoscopic … …Journal of Computer Science, Vol. 21, Issue 10 · 10 Dec 2025 · 2,397 accessesView PDFCite
Research ArticleOpen accessIn the keywords2D Kinematic Quantification of Soil Particles around Growing Plant Root based on Optical MechanicsWenbin Wu, Jian ZhaoThe quantitative kinematic description of the surrounding soil particles during root growth is a technical challenge and biologically important. In this study, a two-dimensional camera-based imaging system was used to observe micro scale interactions between plant roots and soil particles. Maize root tip was imaged during ingress into the soils. This produced a series of two-dimensional images that represent temporal … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 4 · 21 Oct 2020 · 6,411 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Comparative Study of Data Mining approaches for Bag of Visual Words Based Image ClassificationSahar Abd El Hameed Mokhtar, Heba Ahmed ElnemrImage classification is one of the most significant and challenging tasks in computer vision. The goal of this task is to build a system that is capable to reveal an image label within a collection of different image categories. This paper presents and discusses the application of various data mining techniques for image classification based on Bag of Visual Words … …Journal of Computer Science, Vol. 14, Issue 1 · 12 Jan 2018 · 7,983 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerformance of Thin-Film as Wavelength Filter in Wdm-Pof NetworkMohd Syuhaimi Ab. Rahman, L. S. Supian, Hadi Guna et al.Problem statement: Huge capacity for data transmission and bandwidth are becoming a need nowadays. High cost of implementation using optical fibers prevents utilization of the technology as wide as possible. Approach: Wavelength Division Multiplexing (WDM) was a technique that offers the solution for providing better bandwidth. WDM technique allows several signals that have different wavelengths to be transmitted in a … …American Journal of Applied Sciences, Vol. 9, Issue 2 · 9 Dec 2011 · 7,270 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPores Reconfiguration in Compacted Bernam Series SoilZuraidah Yahya, Aminuddin Husin, Jamal Talib et al.Problem statement: The introduction of mechanization in oil palm (Elaeis guineensis) plantations resulted in soil compaction with increased bulk density and reduced porosity due to reconfiguration of soil pores. This could be a serious problem in the future as soil pores are important for aeration and water movement. Approach: This study was carried out to determine the effect of mechanization … …American Journal of Applied Sciences, Vol. 8, Issue 3 · 25 Mar 2011 · 8,681 accessesView PDFCite
Research ArticleOpen accessIn the keywordsApplication of MultiScale Hidden Markov Modeling Wavelet Coefficients to fMRI Activation DetectionFangyuan Nan, Yaonan Wang, Xiaoping MaProblem Statement: The problem of detection of functional magnetic resonance images (fMRIs), that is, to decide active and nonactive regions of human brain from fMRIs is studied in this paper. fMRI research is finding and will find more and more applications in diagnosing and treating brain diseases like depression and schizophrenia. At its initial stage fMRI detection are pixel-wise methods, … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 7,546 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptiCNN: 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