Machine vision information acquisition and processing technology based on fpga

被引：0

作者：

Sun X. ^{[1
]}

Li P. ^{[1
]}

Cai Q. ^{[1
]}

Shi Y. ^{[1
]}

机构：

[1] School of Electronic Engineering, Hunan College of Information, Changsha, 410200, Hunan

来源：

International Journal of Simulation: Systems, Science and Technology | 2016年 / 17卷 / 09期

关键词：

FPGA; Information acquisition; Machine vision; Processing thchnology;

D O I：

10.5013/IJSSST.a.17.09.12

中图分类号：

学科分类号：

摘要：

In this paper, the author studies on the machine vision information acquisition and processing technology based on FPGA. Canny edge detection algorithm is used to obtain the information of the edge pixel position of the leaf followed by median filtering and linearization (using Otsu threshold algorithm). After the image reconstruction, the edge pixel would be inserted into the image, and the pixels within the edges would be filled. Results show that the display error is within1%which means this method ensures the integrity of the research object edge while eliminating the white noise in the image to improve the accuracy of the measurement results. © 2016, UK Simulation Society. All rights reserved.

引用

页码：12.1 / 12.5

共 8 条

[1]

Liang C., Wang J.Z., Buyya R., Bandwidth-aware divisible task scheduling for cloud computing, Software-Practice and Experience, 44, pp. 163-174, (2014)

[2]

Zong-Bin Z., Zhong-Jun D., Improved GA-based task scheduling algorithm in cloud computing, Computer Engineering and Applications, 49, 5, pp. 77-80, (2013)

[3]

Jian-Ping L., Li X., Min-Rang C., Guaranteed QoS resource scheduling scheme based on improved shuffled frog leaping algorithm in cloud environment, Computer Engineering and Applications, 48, 129, pp. 67-72, (2012)

[4]

Minghai X., La Y., CO-based network selection algorithm, Computer Engineering and Applications, vol. 48, No. 05, pp, (2012)

[5]

Young R.R., Swan P.F., Evelyn A., Thomchick, Kusumal Ruamsook. Extending landed cost models to improve offshore sourcing decisions, International Journal of Physical Distribution & Logistics Management, 23, 6, pp. 394-402, (2009)

[6]

Kaikai C., Yihua Z., Xiaohong J., Et al., Practical throughput analysis for two-hop wireless network coding, Computer Networks, 13, 3, pp. 233-256, (2013)

[7]

Vieira L.F.M., Gerla M., Misra A., Fundamental limits on end-to-end throughput of network coding in multi-rate and multicast wireless networks, Computer Networks, 7, 11, pp. 5717-5727, (2013)

[8]

Mane P.R., Adiga S.G., Sathish Kumar M., Performance evaluation of random linear network coding using a Vandermonde matrix, Physical Communication, 2, 8, pp. 122-132, (2013)

← 1 →