Morphometry of Sardine Otoliths Using Digital Image Processing

Abstract

Otoliths of fish have since quite a while ago assumed an essential part in economical fisheries administration. Stock evaluation models at present utilized depend on species particular age profiles got from the occasional examples of development denotes that otoliths show. An ongoing expansion to shape demonstrating methods to figure out which performs best. An investigation is done into Impact of segmentation methods are considered to decide whether automated techniques is used for boundary extraction are more meaningful and whether built classifiers can be used at various establishments. The study of otolith and qualified researches reveals the exceptional development based on the life, stock structure, age, history, growth, migration, mortality, discoveries in marine biology and reveals the importance of fisheries management This research analysis characterized by the many techniques of image processing and the methods related with studies of otolith microstructure. The entire progression of proceedings from sample images collection to data processing is done comprehensively to make otolith analysis much advance and improved.