An Identification of Chlorophyll Content using Image Processing Technique and Fuzzy Mamdani Method

Dr, Suhartono (2016) An Identification of Chlorophyll Content using Image Processing Technique and Fuzzy Mamdani Method. Indian Journal of Science and Technology, 9 (29). pp. 1-5. ISSN 0974-6846

[img]
Preview
Text
58582-203525-1-PB.pdf

Download (504kB) | Preview
[img] Slideshow
58582 - Published Version
Available under License Creative Commons Attribution Non-commercial.

Download (31kB)

Abstract

Background/Objectives: To improve an identification of chlorophyll content in leaf, this paper presents an implementation of a supervised learning method based on membership function training in the context of mamdani fuzzy models. Methods/Statistical Analysis: this paper presents a fuzzy rule based algorithm; natural color image in leaf (Red, Green and Blue) is used as the input to the fuzzy mamdani models. The output of the fuzzy mamdani models is value of chlorophyll content. Results: The proposed approach was superior to identification of chlorophyll content in leaf using image processing technique and mamdani fuzzy method has higher identification accuracy. Conclusion/Application: Finally, the basic difference of value of chlorophyll content between fuzzy mamdani models and the actual was less than 3,1 % on average.

Item Type: Journal Article
Subjects: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080102 Artificial Life
Depositing User: Dr Suhartono M.Kom
Date Deposited: 01 Nov 2016 06:47

Downloads

Downloads per month over past year

Origin of downloads

Actions (login required)

View Item View Item