Automatic classification of cotton boll using signature curve and boundary descriptors

Autor:	Yogesh Choudhary, Swaraj Singh Pal, Sandeep Kumar, Mahua Bhattacharya, Manish Kashyap
Rok vydání:	2015
Předmět:	business.industry Computer vision Pattern recognition Image segmentation Artificial intelligence business Classifier (UML) Fuzzy logic Mathematics
Zdroj:	ICACCI
DOI:	10.1109/icacci.2015.7275842
Popis:	The correlation between the environmental features and image features of cotton bolls is the necessary step for the pattern recognition and translate those features for machine understanding is the main challenge to distinguish mature cotton boll from immature one. Present work is tried to solve this problem using shape based features. The fuzzy based classifier is introduced for the decision making. Any improper acquisition of images of cotton bolls, like intense illumination or deep shadows (which is of course absent in natural settings) will produce improper results.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2d015052d37e7e437551f8346be4f619 https://doi.org/10.1109/icacci.2015.7275842 Zobrazit plný text záznamu