Study on a fish disease case reasoning system based on image retrieval
Dongmei Lou, Ming Chen, Jiechao Ye · New Zealand Journal of Agricultural Research · 2007
Abstract To improve the accuracy of fish disease expert system diagnosis, this paper develops a fish disease model which combines case‐based reasoning and content retrieval from images of sick fish. In the visual inspection phase and microscope inspection phase of fish disease diagnosis the system extracts the visual features of a fish disease image which is uploaded by the user. It then uses content‐based image retrieval technology to find similar images in the fish disease image database. This can be returned to the user as a diagnosis reference and, at the same time it can be used as an index for case retrieval. During case retrieval, depending on the similar image's semantic annotation index case database, the searching scope can be reduced to improve the efficiency of case retrieval and the accuracy of reasoning.