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11 results for “Region Growing Technique”
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Research ArticleOpen accessIn the keywordsIncorporation of Modified Region Growing into FCM Clustering for Extraction of Tumors in MR ImagesLovepreet Singh Brar, Jaget Singh, Bhawana Agrawal et al.Due to the tremendous growth of medical Magnetic Resonance (MR) images, it becomes an essential requirement for an automated extraction of diagnostically salient parts of the images to refine the transmission and storage process. Research method: This paper proposes an automated unsupervised machine learning segmentation technique named fuzzy c-means clustering based on modified region growing algorithm (RG-FCM) for the extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,477 accessesView PDFCite
Research ArticleOpen accessIn the abstractMEDICAL IMAGE SEGMENTATION FOR ANATOMICAL KNOWLEDGE EXTRACTIONMs Maya Eapen, Reeba KorahComputed Tomography-Angiography (CTA) images of the abdomen, followed by precise segmentation and subsequent computation of shape based features of liver play an important role in hepatic surgery, patient/donor diagnosis during liver transplantation and at various treatment stages. Nevertheless, the issues like intensity similarity and Partial Volume Effect (PVE) between the neighboring organs; left the task of liver segmentation critical. The … …Journal of Computer Science, Vol. 10, Issue 7 · 22 Feb 2014 · 6,460 accessesView PDFCite
Research ArticleOpen accessIn the abstractACCURATE AND FAST PUPIL LOCALIZATION USING CONTRAST STRETCHING, SEED FILLING AND CIRCULAR GEOMETRICAL CONSTRAINTSIman A. Saad, Loay E. George, Ahmad A. TayyarIris segmentation is the most contested issue in the iris recognition system, since noise and poor image quality can significantly affect accuracy of iris localization stage. Therefore, very careful attention has to be paid for the segmentation process if only an accurate result is expected. This study presents a new method for precise pupil detection capable of handling the unconstrained … …Journal of Computer Science, Vol. 10, Issue 2 · 16 Nov 2013 · 7,240 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Adaptive Region Growing Algorithm with Support Vector Machine Classifier for Tuberculosis Cavity IdentificationK. Meenakshi Sundaram, C. S. RavichandranThe major world health menace is Tuberculosis (TB) that has the effect on one-third of the global population and millions of new infections are occurring every year. The cavities in the upper lung zone are a strong indicator that the disease has developed into a highly contagious state. The study includes 52 Chest X-ray images with Tuberculosis and 43 Chest … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 29 Oct 2013 · 7,067 accessesView PDFCite
Research ArticleOpen accessIn the abstractSilk-Cloth Weaving Development of the Mon-Khmer Ethnic Group in Lower-IsanWira Phansuwan, Suoneth Photisan, Anongrit KangrangProblem statement: Silk cloth weaving culture of the Mon-Khmer ethnic group in Lower-Isan has a specific identity which should be handed down to future generation. The purposes of this research were to examine: (1) the body knowledge concerning silk clothes of the Mon-Khmer ethnic group in Lower-Isan region, (2) the process of production or silk-cloth weaving of the Mon-Khmer ethnic … …Journal of Social Sciences, Vol. 6, Issue 1 · 31 Mar 2010 · 8,765 accessesView PDFCite
Research ArticleOpen accessIn the abstractKhaen: An Application of Isan Local Wisdom for Conservation Revitalization and Development of Raw Materials and Khaen Making for Value-Added CultureChampadaeng Sithisak, Bunsom Yodmalee, Khaentaphon SamdaengdejProblem statement: The electricity in recent time, the raw materials for making “Khaen” (Lao reed mouthorgan) were decreased. The Reed Mouthorgan manufacturing was a high wisdom heritance. The objective of this research was to study the following issues: (1) the history of Reed Mouthorgan musical instrument, raw material and Reed Mouthorgan manufacturing in Esan Region. (2) The state of problems … …Journal of Social Sciences, Vol. 5, Issue 4 · 31 Dec 2009 · 7,686 accessesView PDFCite
Research ArticleOpen accessIn the abstractRange 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 accessIn the abstractSegmentation 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 accessIn the abstractWork Performance of MB Trac 900 Tractor on Mountains Terrain in TurkeyTolga Ozturk, Murat DemirThe forestry works mainly involves such various stages as growing, protection, production, wood harvesting, marketing and utilization of forest products. Wood harvesting is performed by completion of cutting, extraction and transporting stages. The most obvious feature of wood harvesting is that the operations are done under various weather conditions open in the field. The measurements and observations were made on … …American Journal of Applied Sciences, Vol. 2, Issue 1 · 31 Jan 2005 · 7,314 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordWhale Optimized Deep Generative Adversarial Network Based Alzheimer's Stages Detection Using 3D MRI Brain NeuroimagingR. Sampath, M. BaskarAlzheimer's Disease (AD), a common, chronic neurodegenerative condition, is characterized by the loss of neurons and synapses in the cerebral cortex and specific subcortical regions. According to claims from a recent study, AD has a 20% misdiagnosis rate. Therefore, it is essential to create a useful tool to recognize the stages of AD with a lower prediction error rate to … …Journal of Computer Science, Vol. 19, Issue 8 · 4 Aug 2023 · 5,544 accessesView PDFCite