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188 results for “segmentation”

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Research ArticleOpen accessIn the abstractA Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat DiseasesSajjad Saleem, Adil Hussain, Nabila Majeed et al.Wheat is an important source of dietary fiber and protein that is negatively impacted by a number of risks to its growth. The difficulty of identifying and classifying wheat diseases is discussed with an emphasis on wheat loose smut, leaf rust, and crown and root rot. Addressing conditions like crown and root rot, this study introduces an innovative approach that … …Journal of Computer Science, Vol. 21, Issue 1 · 2 Jan 2025 · 6,355 accessesView PDFCite
Review ArticleOpen accessIn the abstractTextual Figure Processing Method: A Systematic Literature ReviewWydyanto Yanto, Norshita Mat Nayan, Riza SulaimanA human transaction always involves figured documents that have high practical value and could be screened using Optical Character Recognition (OCR). Optical character recognition is a knowledge to process different types of documents and figures to become data that could be analyzed, stored in files, edited and written for different uses. Lately, researchers used a lot of methods to analyze … …American Journal of Applied Sciences, Vol. 21, Issue 1 · 26 Oct 2024 · 8,183 accessesView PDFCite
Research ArticleOpen accessIn the abstractVehicle Detection in Aerial Traffic MonitoringDmitry Sincha, Mikhail Chervonenkis, Pavel SkribtsovThis work describes a cascade detection of vehicles in Unmanned Aerial Vehicle (UAV) images and videos. There are some new approaches used in the detection. In particular, the Region of Interest (ROI) search is not only based on GIS and navigation data, but also employs visual method based on rapid image segmentation and road detection. The work also suggests doing … …American Journal of Applied Sciences, Vol. 13, Issue 1 · 11 Jan 2016 · 7,932 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,762 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 · 7,247 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Optimal Approach for Medical Image AnalysisJ. Umamaheswari, G. RadhamaniProblem statement: Image segmentation is the process that subdivides an image into its constituent parts and extracts the objects. It is one of the most critical tasks in automatic image analysis because the subdivided results will affect all the subsequent processes of image analysis, such as object representation and description, feature measurement and even the following higher level tasks such … …Current Research in Bioinformatics, Vol. 1, Issue 1 · 6 Jun 2012 · 9,519 accessesView PDFCite
Research ArticleOpen accessIn the abstractContent Based Medical Image Retrieval with Texture Content Using Gray Level Co-occurrence Matrix and K-Means Clustering AlgorithmsB. Ramamurthy, K. R. ChandranProblem statement: Recently, there has been a huge progress in collection of varied image databases in the form of digital. Most of the users found it difficult to search and retrieve required images in large collections. In order to provide an effective and efficient search engine tool, the system has been implemented. In image retrieval system, there is no methodologies … …Journal of Computer Science, Vol. 8, Issue 7 · 24 May 2012 · 7,452 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach in Malignancy Detection of Computer Aided DiagnosisS. Meenalosini, J. Janet, E. KannanProblem statement: Breast cancer is one of the most dangerous diseases that cause innumerable fatal in the female society. Early detection is the only way to reduce the mortality. Due to variety of factors sometimes manual reading of mammogram results in misdiagnosis. So that the diagnosis rate varies from 65-85%. Various computer aided detection techniques have been proposed for the … …American Journal of Applied Sciences, Vol. 9, Issue 7 · 15 May 2012 · 6,918 accessesView PDFCite
Research ArticleOpen accessIn the abstractColored Image Compression Using Gradient Adjustment Prediction Based WaveletMuna Faik Hanoon Al-SammraieProblem statement: Uncompressed graphics, audio and video data require considerable storage capacity and transmission bandwidth. Despite rapid progress in mass-storage density, processor speeds and digital communication system performance, demand for data storage capacity and data transmission bandwidth continues to outstrip the capabilities of available technologies. The recent growth of data intensive digital audio, image and video (multimedia) based web applications, … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,312 accessesView PDFCite
Research ArticleOpen accessIn the abstractWeed Detection over Between-Row of Sugarcane Fields Using Machine Vision with Shadow Robustness Technique for Variable Rate Herbicide ApplicatorA. Muangkasem, S. Thainimit, R. Keinprasit, T. IsshikiProblem statement: Uniformly herbicide rate is used as a conventional practice in Thailand for controlling weeds in sugarcane fields. Since weeds usually grow in certain areas with non-uniformly distribution, uniform herbicide rate approach is not suitable and non-sustainable agricultural technique both in terms of economic an environmental aspect. To address these issues, Variable Herbicide Rate (VHR) was introduced. The VHR … …Energy Research Journal, Vol. 1, Issue 2 · 31 Oct 2010 · 8,238 accessesView PDFCite