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http://dx.doi.org/10.17661/jkiiect.2017.10.2.192

Image Filter Optimization Method based on common sub-expression elimination for Low Power Image Feature Extraction Hardware Design  

Kim, WooSuk (Electrical, Electronic, and Control Engineering, HanKyong University)
Lee, Juseong (Center of Human-centered Interaction for Coexistence)
An, Ho-Myoung (Department of Electronics, Osan University)
Kim, Byungcheul (Department of Electronic Engineering, Gyeongnam National University of Science and Technology)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.10, no.2, 2017 , pp. 192-197 More about this Journal
Abstract
In this paper, image filter optimization method based on common sub-expression elimination is proposed for low-power image feature extraction hardware design. Low power and high performance object recognition hardware is essential for industrial robot which is used for factory automation. However, low area Gaussian gradient filter hardware design is required for object recognition hardware. For the hardware complexity reduction, we adopt the symmetric characteristic of the filter coefficients using the transposed form FIR filter hardware architecture. The proposed hardware architecture can be implemented without degradation of the edge detection data quality since the proposed hardware is implemented with original Gaussian gradient filtering algorithm. The expremental result shows the 50% of multiplier savings compared with previous work.
Keywords
Feature extraction; gradient magnitude calculator; high-throughput signal processing; low-complexity hardware architecture;
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