Individual Weight Estimation of Cynoglossus-gracilis Based on Measurement of Irregular Image Area

摘要

For aquaculture, the classification of live fish and the deconcentrition of fish into more ponds are very important process. Non-contact and no-harm are always the target of this process. Using the technology of digital image processing, the binary irregular image of Cynoglossus Gracilis is got and measurement; we analyze the relationship between the weight of fish and flat surface area by a linear regression model. The experimental results show that two parameters has a certain linear relationship, the correlation coefficient is 0.3807(R~2=0.1450). Further research is needed to account for the effects of different growth stages of Cynoglossus gracilis body thickness and other factors, a more accurate model to identify the relationship between the two parameters, to provide support for the non-contact measurement of weight and classification.