Real-Time Signal And Image Thresholding Using Advanced Low-Pass Filtering

M. H. Hassan; P. Siy

doi:10.1117/12.948557

16 December 1989 Real-Time Signal And Image Thresholding Using Advanced Low-Pass Filtering

M. H. Hassan, P. Siy

Proceedings Volume 0977, Real-Time Signal Processing XI; (1989) https://doi.org/10.1117/12.948557
Event: 32nd Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1988, San Diego, CA, United States

Abstract

Real-time signal and image processing techniques have recently gained popularity, due to its importance in many potential applications such as communications, robotic vision, military target detection, and part inspection. This paper presents a simple scheme for thresholding signals and grayscale images dynamically and in real-time. The scheme utilizes the transfer function of a simple low-pass filter and an advanced zero-order hold device where the input is the raw signal or the image' s grayscale values, and the output is the corresponding dynamic thresholds. The scheme features high reliability of the results and is effectively applicable for signals and images with different background illumination and different shape, such as noisy step signals, ramp signals, or their combination. Software and hardware experiments have confirmed the method' s viability.

Citation Download Citation

M. H. Hassan and P. Siy "Real-Time Signal And Image Thresholding Using Advanced Low-Pass Filtering", Proc. SPIE 0977, Real-Time Signal Processing XI, (16 December 1989); https://doi.org/10.1117/12.948557

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