Bulletin of Electrical Engineering and Informatics
Vol 7, No 3: September 2018

Efficient Implementation of Mean, Variance and Skewness Statistic Formula for Image Processing Using FPGA Device

Aqwam Rosadi Kardian (STMIK JAKARTA STI&K)
Sunny Arief Sudiro (STMIK JAKARTA STI&K)
Sarifuddin Madenda (STMIK JAKARTA STI&K)



Article Info

Publish Date
01 Sep 2018

Abstract

Processing statistic formula in image processing and accessing data from memory is easy in software, the other hand for hardware implementation is more dificult considering a lot of constraint. This article proposes an implementation of optimum mean, variance and skewness formula in FGPA Device. The proposed circuit design for all formulas only need three additions component (in three accumulators) and two divisions using two shift-right-registers, two subtractors, one adder and six multipliers. For 8x8 image size need 64 clock cycles to finish the mean, variance and skewness calculations, comparing other approach that need more than 1024 additions component without skewness calculation. Implementation into FPGA needs 68 slices of flip-flops and 121 of 4 input LUTs.

Copyrights © 2018






Journal Info

Abbrev

EEI

Publisher

Subject

Electrical & Electronics Engineering

Description

Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the ...