Classification Method Research of Fresh Agaricus Bisporus Based on Image Processing

Autor:	Jiye Zheng, Niu Luyan, Lei Wang, Fengyun Wang, Wenjie Feng
Rok vydání:	2019
Předmět:	Watershed Stipe (mycology) business.industry Principle of maximum entropy Shadow Pattern recognition Segmentation Image processing Artificial intelligence Closing (morphology) business Agaricus bisporus Mathematics
Zdroj:	Computer and Computing Technologies in Agriculture XI ISBN: 9783030061364 CCTA (1)
DOI:	10.1007/978-3-030-06137-1_30
Popis:	The article studies the classification method for the fresh agaricus bisporus based on image processing. When acquiring the image information, the shadow of image and mushroom stipe may affect the analysis of maximum diameter of agaricus bisporus which is the important factor. In this paper, the global threshold segmentation method and maximum entropy threshold segmentation method are combined to carry out the first watershed algorithm to remove the shadow of image. Then the Canny operator, opening and closing operation and corrosion expansion are used to carry out the second watershed algorithm for the removal of stipe interference. The method achieves a good result through the comparison between the actual measured results and experimental results.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6c6fb57a3addafa9cf3c58583c6d35d8 https://doi.org/10.1007/978-3-030-06137-1_30 Zobrazit plný text záznamu