6 results for “Statistical-Based Thresholding”

Set a search alert

Research ArticleOpen accessPhrase in the titleSegmentation of Exudates via Color-based K-means Clustering and Statistical-based ThresholdingAtef Zaki Ghalwash, Aliaa Abdel-Halim Youssif, Ali Mohamed Nabil AllamThis paper provides a novel approach for the problem of detecting the yellowish lesions in the eye fundus images, such as hard and soft exudates, in a fully-automated manner. To solve this problem of segmenting exudates automatically, the fundus image was first converted into the L*a*b* color space to decouple the chromaticity information of the image. Next, the fundus image … …Journal of Computer Science, Vol. 13, Issue 10 · 14 Oct 2017 · 7,725 accessesView PDF Cite

Research ArticleOpen accessIn the abstractComparative Analysis of Wavelet, Curvelet, and Contourlet Transforms for Denoising Liver CT ImagesMajzoob Kamalaldin Omer AbdalrahmanLiver cancer is one of the leading causes of mortality worldwide, and early detection using CT imaging plays a critical role in patient survival. However, the quality of CT scans is often degraded by noise, particularly in low-dose imaging intended to minimize radiation exposure. This study presents a comprehensive comparison of three multiresolution transform techniques, namely the wavelet, curvelet, and … …Journal of Computer Science, Vol. 22, Issue 1 · 4 Feb 2026 · 2,117 accessesView PDF Cite

Review ArticleOpen accessIn the abstractStatistical Binarization Techniques for Document Image AnalysisSaad M. Ismail, Siti Norul Huda Sheikh Abdullah, Fariza FauziBinarization is an important process in image enhancement and analysis. Currently, numerous binarization techniques have been reported in the literature. These binarization methods produce binary images from color or gray-level images. This article highlights an extensive review on various binarization approaches which are also referred to as thresholding methods. These methods are grouped into seven categories according to the employed … …Journal of Computer Science, Vol. 14, Issue 1 · 3 Jan 2018 · 8,160 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSkin Images SegmentationAli El-ZaartProblem statement: Image segmentation is a fundamental step in many applications of image processing. Skin cancer has been the most common of all new cancers detected each year. At early stage detection of skin cancer, simple and economic treatment can cure it mostly. An accurate segmentation of skin images can help the diagnosis to define well the region of the … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Jul 2010 · 7,023 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordAn 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 PDF Cite

Research ArticleOpen accessAll words, across the recordStatistical Pattern Recognition for Thresholding between Human Skin and Background in Color ImagesRafael Divino Ferreira Feitosa, Vinícius Araújo Santos, Leandro Luís Galdino de Oliveira et al.Many research works based on the tone of human skin have been developed to locate and track the human body for the purpose of recognition in color images. With respect to other techniques, some advantages of face detection based on skin color are the smaller processing time, invariant angles of rotation and the performance in semi-occluded faces. In this study … …Journal of Computer Science, Vol. 13, Issue 2 · 10 Apr 2017 · 7,923 accessesView PDF Cite