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29 articles for “Euclidean”
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Fractal Geometry and Its Application to Image Compression
Abstract: This paper presents the concept of fractal and its geometry with the explanation of how natural objects require different geometry rather than traditional Euclidean geometry and also discusses mathematics of fractals with the simulation results of generated fractal and applications of the fractal geometry in image compression. Image compression using fractal has a major drawback of large encoding time and several algorithms have been developed to reduce the encoding time …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 4–12 Read article
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Driver Drowsiness Detection Using Canny Edge Detection and Hough Transformation
Abstract: AbstractThe aim of this study is to save many lives during road accidents because of driver’s drowsiness. A method for detecting sleepiness in drivers is developed by using a camera that points directly towards the driver’s face and captures the video. Once a video is captured, it detects a face and continues monitoring the face region and eyes in order to detect fatigue. Viola Jones algorithm is used to detect …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 9–13 Read article
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Binary Shape Segmentation and Classification using Coordination Number (CN)*
Abstract: We proposed a novel, micro-structures, shape-preserving local descriptor for contour-segmentation- based binary object classification and recognition, named local coordination number count (LCNC). In this method, we formulate the problem by estimating the 8-neighbourof each binary object pixel. In the matching stage, we used Euclidean distance between eigenvalues corresponding to correlation coefficient and the dynamic programming to find out the optimal correspondence between boundary smoothness of two shapes. Experimental results obtained …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 1, 2021 · pp. 22–30 Read article
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Comparative Analysis of Distance Metrics using Face Recognition
Abstract: Researchers are using various distance metric standards in evaluation of face recognition methods. In past decades, the Eigenfaces and Fisherfaces face recognition methods were generally evaluated using the Euclidean distance (ED) metric that have shown better performance in cooperative environments, but poorly performed in non-cooperative environments. This paper presents a comparative analysis of distance metrics through face recognition methods i.e., Eigenfaces and Fisherfaces in both cooperative environments and non-cooperative environments. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 1, 2021 · pp. 1–7 Read article
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Landscape Characterization in a Watershed of Western Himalayan Ecoregion
Abstract: The study was carried out in Kalsa watershed of Western Himalayan Ecoregion to quantify the landscape structure with special reference to different forest ecosystems. Vegetation and land use map generated using satellite remote sensing data was taken as an input for quantification of landscape structure, which was quantified based on different patch attributes (number, area, shape complexity) and landscape indices viz., Euclidean nearest neighbor distance and contagion. Temperate broadleaf forest …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 1, 2015 · pp. 1–10 Read article
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FEATURE SELECTION METHODS FOR OBJECT-BASED CLASSIFICATION OF TROPICAL FOREST USING SPOT 5 IMAGERY
Abstract: The faster development of spatial technology, the more options in material for image analysis and this characteristic also leads to a huge diversity of image features. Aiming at investigating the optimal feature space for classification with emphasis on efficiency in less time-consuming, image objects separability, certain numbers of approaches ranging from graphical to statistical methods involving class separation distances have been used for classification related to Object-based Image Analysis (OBIA). …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 2, 2016 · pp. 41–49 Read article
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On Triply-Diffusive Convection in Completely Confined Fluids
Abstract: The present paper derives some energy relationships and limitations for the growth rate of a disturbance in the problems of triply-diffusive convection of Veronis type configurations for fluids completely confined in an arbitrary region in the three dimensional Euclidean space 3 R .Keywords: Triply-diffusive convection, Rayleigh numbers, Prandtl numbers, Lewis numbers
Published in Journal of Experimental & Applied Mechanics · Vol. 5, Issue 3, 2014 · pp. 1–7 Read article
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Genetic Divergence for Yield and Yield Attributes of Spring Rice (Oryza sativa L.) Genotypes in Western Hill of Nepal
Abstract: A varietal trial of spring rice (Oryza sativa L.) was conducted in the farmer field at Dhamilikuwa, Lamjung, Nepal with an objective to study the genetic divergence for yield and yield related components from March 2017-June 2017. The experiment was carried out in randomized complete block design (RCBD) having eighteen genotypes with three replications. Cluster analysis revealed that eighteen genotypes were grouped into four clusters based on Euclidean distance. Cluster …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 7, Issue 2, 2018 · pp. 1–4 Read article
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A Novel Clustering Techniques Evaluation using Monte Carlo Simulation
Abstract: In Machine Learning clustering is one the most significant method. Today, we have data in rich from many sources but in order to get meaningful information from it is very boring task. Machine learning clustering algorithms to create cluster to decode the meaningful information from the data, this analysis approach has gained much popularity in recent years. This paper explores evaluation performance of frequently used existing clustering techniques such as …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 3, 2021 · pp. 1–23 Read article