Standardization for Export Quality of Oreochromis niloticus and Chanos chanos based on Quality Index Method using Integrated Image Processing Algorithms

The aim of this research is to prepare a prototype to be used in assessing the standard level of Nile Tilapia and Milkfish (Bangus) in fish pen and wet market storage. The parameters that will be assessed are the eyes, length and texture. The real time captured images of Tilapia and Bangus will be scanned and processed by the Raspberry Pi and will be transferred to a laptop that have the database of standard fish image algorithm. QIM (Quality Index Method) is used for the results accuracy by Using L*a*b* color space averaging and reference comparison, the percent score for each sample fish was taken and verified. This research provides the fish farmers an efficient way to verify and ensure the consumers that the fishes are of high quality.