Estimating fish weight based on visual captured

Abstract

Nowadays, the fish weight measurement is still done manually by using the scales tool. It can lead to difficulties that are considered inaccurate, less effective and require a long time, especially in large quantities. In consequence, a method to measure the weight of the fish automatically based on visual capture is necessary so measuring fish become more effective and efficient. First stage starts from taking picture of the fish using digital camera. The picture will be pre-processed to get grayscale image. Grayscale image is segmented object in the form of separation of objects that are not needed in the fish image. Followed by the feature extraction process in calculating the weight of the fish from the average value of calibration automatically obtained the length, width and height of the fish. The results showed that the method to measure the weight of the fish automatically based on visual capture is able to produce the accuracy validity level from 80% to 97%.