Fish detection based on echogram

• Main Author: Noor Amira Syuhada, Mahamad Salleh
• Format: Undergraduates Project Papers
• Language: English
• Published: 2012
• Subjects: TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/7669/1/NOOR%20AMIRA%20SYUHADA%20BINTI%20MAHAMAD%20SALLEH.pdf; http://umpir.ump.edu.my/id/eprint/7669/
• Institution: Universiti Malaysia Pahang Al-Sultan Abdullah

Echo sounder is devices used by the researcher or fishermen to detect of fish abundance in the deep sea area. Echogram as an image presentation of echo sounder's reflection usually analyzed as ping-by-ping calculation to obtain target strength for specific species. An advance method for fish identification based on echcgram using pattern recognition is deploying in this research.Few data of echograms on few species of fish has to be recorded and compared. The software analysis developed using MATLAB to identify the differences species of fish based on its image pattern of echogram. The results makes easier to identify specific fish species based on pattern of echogram rather than ping-by-ping calculation.