IMPLEMENTASI ALGORITMA SEGMENTASI WARNA KULIT PADA WAJAH DENGAN MEMANFAATKAN FPGA; IMPLEMENTATION OF SKIN COLOR SEGMENTATION ALGORITHM IN FACE BY USING FPGA
Sholihah, Nadiatus, Bambang Nurcahyo Prastowo
2015 | Skripsi | FMIPA UGMstep of face detection system. Yet, development of the algorithm is always implemented at the software level that need installation process in personal computer. In the era which began to be applied embedded systems, portable or mobile application is a need. One of the device which possible to implement the portable segmentation process is FPGA. This research aims to do so. There are three main parts in this research: OV7670 camera module as input, FPGA Artix-7 as processor and VGA monitor as output diplay. This study used thresholding to do segmentation. The data entered through the camera then thresholded in FPGA. Thresholding process used ROM concept where there are data port and address port. Area that indicated as face skin color become white and the rest become black. The result then displayed through VGA monitor with resolution 640x480 pixels. The result show that implementation of skin color segmentation algorithm in FPGA can performed with the frequency maximum 256.581 MHz. The amount of resource used is 334 CLB or 2% of the total available in FPGA Artix-7. Thresholding method is implemented in FPGA using ROM-sized 320x12 bit. The most suitable threshold value according to the environment in experimentation room with light intensity between 59 to 178 lux is 0 ? U ? 160. With the results of this research, further studies are expected to utilize the available resource of FPGA to do high level computation like face detection.
Kata Kunci : Skin Face Detection; FPGA; Thresholding
