期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：9
页码：15227
DOI：10.15680/IJIRCCE.2017.0509067
出版社：S&S Publications
摘要：The key problem in achieving efficient and develop user-friendly retrieval in the domain of imageprocessing and also to estimate the density (height)of the snowfall in cross section view with scaling factors and densitybased algorithms. In this research work, an aerial digital images can be gathered from various background situationswith 7.2MP resolution. After pre-processing the snowfall image, the proposed methodology can be implemented inorder to identify the snowfall region using DBSCAN and data grid clustering algorithms. Using the clusteringalgorithm, the snowfall regions are clustered and segmented according to their size. After clustering the snowfall area,using binarization technique the total number of black pixels(1’s) snowfall area are computed automatically.Final objective is to identify the suitable cluster density for landing the flight with respect to minimum density regionand size for different sets of images in the snowfall occurrence area. The efficiency of the proposed methodology havebeen compared with DBSCAN and Data Grid algorithm with respect to memory usage and running time of thealgorithms for different sets of aerial images.
关键词：Binarization; Clustering; Data Grid; Density; DBScan; Image Scaling factors.
