35 results for “Image Thresholding”

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Research ArticleOpen accessIn the abstractSugarcane Phenological Date Estimation Using Broad-Band Digital CamerasMobasheri, M. Chahardoli, J. Jokar, M. FarajzadehIn the agricultural industry, precision farming is the most important task that attracts lots of attentions. The health of the plant depends mostly on the amount of water in its access that can be estimated through vegetation indices. These indices can be extracted from satellite images through Image processing algorithms. The objective of this research was to provide an equation … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 2 · 30 Jun 2008 · 7,959 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordIncorporation 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 PDF Cite

Research ArticleOpen accessAll words, across the recordSegmentation 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 accessAll words, across the recordAUTOMATIC TEXT EXTRACTION FROM COMPLEX COLORED IMAGES USING GAMMA CORRECTION METHODG. Gayathri Devi, C. P. SumathiThe aim of this study is to propose a new methodology for text region extraction and non text region removal from complex background colored images. This study presents a new approach based on Gamma correction by determining a gamma value for enhancing the foreground details in an image. The approach also uses gray level co-occurrence matrices, texture measures, threshold concepts. … …Journal of Computer Science, Vol. 10, Issue 4 · 24 Dec 2013 · 6,679 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordA MODIFIED ADAPTIVE WAVELET SHRINKAGE SPECKLE FILTER FOR ULTRASOUND IMAGESNirmaladevi Periyasamy, Asokan RamasamyThe usage of ultrasound imaging for medical diagnosis is limited due to the presence of speckle noise. In this study Modified Adaptive Wavelet Shrinkage Filter (MAWSF) in the translational invariant domain is proposed for the removal of speckle noise. The adaptive wavelet threshold function removes the fixed bias of soft thresholding. A new inter-scale dependency model is proposed, to perform … …Journal of Computer Science, Vol. 9, Issue 10 · 16 Sep 2013 · 6,539 accessesView PDF Cite