A Robust Histogram-Based Image Segmentation ASIC Design for System-on-Chip using 65nm Technology

被引:0
作者
Salahat, Ehab
Saleh, Hani
Zitouni, M. Sami
Sluzek, Andrzej S.
Mohammad, Baker
Al-Qutayri, Mahmoud
Ismail, Mohammad
机构
来源
2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, SIGNAL PROCESSING, AND THEIR APPLICATIONS (ICCSPA'15) | 2015年
关键词
System-on-Chip; Histogram-Based Thresholding; Image Segmentation; ASIC; Real-Time; Image Processing;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Image segmentation is an essential preprocessing step for many computer vision and image processing applications. Implementing algorithms that handle such images in hardware will speed up the processing task considerably. In this paper, a new robust histogram-based image segmentation ASIC design of a System-on-Chip (SoC) using 65nm technology is presented. With a clock frequency of 289 MHz, the SoC can reach a frame rate of a 4410 FPS for an image resolution of 256x256. This is few order of magnitudes faster than the FPGA implementation in the literature. The finished-chip details renders it suitable for real-time and mobile applications.
引用
收藏
页数:4
相关论文
共 10 条
[1]  
Al-Araji SR, 2013, IEEE INT NEW CIRC
[2]  
AlSaeed D. H., 2014, 21 INT C SYST SIGN I
[3]   Towards a general framework for FPGA based image processing using hardware skeletons [J].
Benkrid, K ;
Crookes, D ;
Benkrid, A .
PARALLEL COMPUTING, 2002, 28 (7-8) :1141-1154
[4]   A New Iterative Triclass Thresholding Technique in Image Segmentation [J].
Cai, Hongmin ;
Yang, Zhong ;
Cao, Xinhua ;
Xia, Weiming ;
Xu, Xiaoyin .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 23 (03) :1038-1046
[5]  
Huang D.-Y., 2010, INT J COMPUTER SCI E, V1, P177
[6]  
Krishna MP, 2014, IEEE INT ADV COMPUT, P1060, DOI 10.1109/IAdCC.2014.6779472
[7]  
Li X., 2003, IEEE INT C NEUR NETW
[8]  
Rais N. B., 2004, INT MULT C DEC
[9]  
Rosas R., 2005, 2 INT C EL EL ENG IC
[10]  
Sultana A., 2011, IEEE RECENT ADV INTE