Title :
Argopecten Purpuratus Codification Based on Determination of Weight by Conversion and Adjustment Factors
Author :
Rodriguez, Alex ; Diaz-Zea, A. ; Flores, R. ; Delgado, M. ; Barrios-Aranibar, D. ; Patino, R.
Author_Institution :
Res. & Software Dev. Center, San Agustin Nat. Univ., Arequipa, Peru
Abstract :
The Codification of Argopecten Purpuratus is a process, where the Stem and Coral are classified by their weight in different codes. This process is done manually, therefore is linked to the subjectivity and the fatigue of people involved in the work. The use of computer vision is an alternative to automate this process. The present work proposes a method to classify the Argopecten Purpuratus based on determination of weights by conversion and adjustment factors. These factors use the area of the whole scallop and of the coral to make the estimation. Results of experiments show that the computer vision system achieved an overall acccuracy of 98%.
Keywords :
aquaculture; computer vision; image coding; adjustment factors; argopecten purpuratus codification; computer vision; coral; scallop; stem; weight determination; Computer vision; Estimation; Humans; Image color analysis; Image segmentation; Inspection; Machine vision; segmentation; computer vision; adjustment and conversion factors; area; weight estimation;;
Conference_Titel :
Computer Science Society (SCCC), 2011 30th International Conference of the Chilean
Conference_Location :
Curico
Print_ISBN :
978-1-4673-1364-3
DOI :
10.1109/SCCC.2011.20