Implementation of Starfruit Maturity Classification Algorithm on Embedded System
This paper presents an implementation of starfruit maturity classification algorithm in an embedded real-time system. In order to do classification for the starfruit the maturity of the starfruit is classified based on new color feature, which is the hue between 2 color component of red and green denoted as C. Field Programmable Gates Array (FPGA) is selected to be the main processor of the system. Not only because of the capability of parallel execution on the algorithm, the FPGA is chosen also because of its low power consumption. The acquisition device for the system is a CMOS camera, which immune to high noise and static low power. From the CMOS camera, the image is transferred into the FPGA through ITU-R 656 Decoder. With YCbCr 4:2:2 color system, firstly the system will segment the starfruit image in order to remove the background. Next, index maturity classification is performed In this work, classification accuracy of 90% was achieved. The index result is shown at Liquid Crystal DispLay (LCD).
Real-time system FPGA Color features CMOS ITU-R 656 Decoder YCbCr LCD
R.Amirulah M.M.Mokji Z.Ibrahim
Computer Vision, Video and Image Processing (CvviP)Faculty of Electrical Engineering 81310 UTM Skudai, Johor, Malaysia
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
810-814
2010-07-05(万方平台首次上网日期,不代表论文的发表时间)