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A new image segmentation method based on human brightness perception and foveal adaptation

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3 Author(s)
Heucke, L. ; hyperCIS AG, Berlin, Germany ; Knaak, M. ; Orglmeister, R.

We propose an algorithm for adaptive image segmentation based on human psychovisual phenomena: visual perception-based segmentation. The new method can reliably segment poor quality images with low contrast and low SNRs. Due to its adaptability, it can be applied to a wide range of low quality images with different object sizes. In successful tests with ultrasound and flow field images that are normally difficult to segment, this new method outperforms a conventional texture-based segmentation method as a result of its biological source.

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Signal Processing Letters, IEEE  (Volume:7 ,  Issue: 6 )