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A Study of Edge Detection for Auto Focus of Infrared Camera

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2018, 23(1), pp.25-32
  • DOI : 10.9708/jksci.2018.23.01.025
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : December 9, 2017
  • Accepted : December 23, 2017
  • Published : January 31, 2018

Hee Duk Park 1

1한화시스템

Accredited

ABSTRACT

In this paper, we propose an edge detection algorithm for auto focus of infrared camera. We designed and implemented the edge detection of infrared image by using a spatial filter on FPGA. The infrared camera should be designed to minimize the image processing time and usage of hardware resource because these days surveillance systems should have the fast response and be low size, weight and power. we applied the 3x3 mask filter which has an advantage of minimizing the usage of memory and the propagation delay to process filtering. When we applied Laplacian filter to extract contour data from an image, not only edge components but also noise components of the image were extracted by the filter. These noise components make it difficult to determine the focus state. Also a bad pixel of infrared detector causes a problem in detecting the edge components. So we propose an adaptive edge detection filter that is a method to extract only edge components except noise components of an image by analyzing a variance of pixel data in 3x3 memory area. And we can detect the bad pixel and replace it with neighboring normal pixel value when we store a pixel in 3x3 memory area for filtering calculation. The experimental result proves that the proposed method is effective to implement the edge detection for auto focus in infrared camera.

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