id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-23856	Qin, Xinpeng	Water Quality Image Recognition based on SVM	2024	5	.pdf	application/pdf	3655	175	53	Firstly, python is used to extract the features of water sample image, the data were pre-processed, divided into training and test sets, and the SVM is used to construct water quality classification models. 2. Image Preprocessing When using color features to recognize water quality image, the color information carried by color image is especially rich, which can describe the surface color features of water samples more accurately.	cache/fcis-23856.pdf	txt/fcis-23856.txt
