The utility of image processing techniques for morphometric analysis and stock identification

摘要: Abstract The development of image analysis systems has facilitated progress and diversification morphometric methods expands the potential for using morphometry as a tool stock identification. Identifying intraspecific groups with different life histories according to shape variation become more powerful, based on review published studies our experiences American lobster Atlantic salmon. Traditional multivariate morphometrics, accounting in size shape, have successfully discriminated many fish stocks. However, traditional been enhanced by processing techniques, through better data collection, effective descriptions new analytical tools. Properly calibrated coordinates locations, or ‘landmarks’, are generally efficient precise than manual distance measurements. ‘Truss networks’ distances between landmark provide comprehensive coverage form greater discriminating power. Image also allow advanced ‘geometric morphometrics’, which include outline methods. Unfortunately, few identification applied methods, not used discriminate fishery It appears that geometric commonly science, because ontogenetic interpretations difficult.