Search Result of "Pimprapai Leerasakultham"

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ที่มา:วิทยาสารเกษตรศาสตร์ สาขา วิทยาศาสตร์

หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Shape- and Texture-Based Fish Image Recognition System)

ผู้เขียน:ImgChomtip Pornpanomchai, ImgBenjamaporn Lurstwut, ImgPimprapai Leerasakultham, ImgWaranat Kitiyanan

สื่อสิ่งพิมพ์:pdf

Abstract

This research developed a computer system capable of recognizing some fish images. The system known as the “shape- and texture-based fish image recognition system” (FIRS) consists of five subsystems—namely: 1) image acquisition, 2) image preprocessing 3) feature extraction, 4) image recognition and 5) result presentation. The experiment was conducted on 30 fish species, which consisted of 600 fish images as the training dataset and 300 fish images for testing. The system compared two recognition techniques—a Euclidean distance method (EDM) and artificial neural networks (ANN). The system was able to recognize all 30 species of the training fish images with a precision of 99.00 and 81.67% for the ANN and the EDM techniques, respectively. The average access times were 24.4 and 154.43 sec per image for the EDM and ANN techniques, respectively.

Article Info
Agriculture and Natural Resources -- formerly Kasetsart Journal (Natural Science), Volume 047, Issue 4, Jul 13 - Aug 13, Page 624 - 634 |  PDF |  Page