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Autumn Leaves Analysis of Seorak Mountains Using Variations of Pixels' Color

Journal of Knowledge Information Technology and Systems
Abbr : JKITS
2014, 9(3), pp.379-385

Publisher : Korea Knowledge Information Technology Society
Research Area : Interdisciplinary Research

Published : June 30, 2014

Kwon Oh-Sung ¹

¹공주교육대학교

ABSTRACT
열림/닫힘 버튼

In general, weather observation based on visual examination has obvious limits in accuracy and consistency of its analysis results. In this paper, we propose a new weather observation method using digital image analysis and information technologies to solve the current observation's difficulties and inaccuracy. Our method consists of three steps : the preprocessing to enhance input images obtained from remote camera control system, the pixel values extraction step to analyze autumn leaves and the statistical classification to find peak autumn color. we make use of RGB variation statistics to analyze red leaves front. We uses an analysis method of multiple small area divided from an entire input image to enhance analysis accuracy. The small areas is classified by wood lands and a thick forest that best shows characteristics of autumn color variations. We apply the method to Seorak Mountains images collected during October 2013 to November 2013 and can obtain successful features about the peak autumn color and its progress.
KEYWORDS
열림/닫힘 버튼

Analysis of Autumn Leaves, Eye Measurement, Digital Image Analysis, Variations' Analysis, Feature Extraction

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* 2022년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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