Image smoothing and enhancement via min/max curvature flow

Ravikanth Malladi; James A. Sethian

doi:10.1117/12.234732

13 March 1996 Image smoothing and enhancement via min/max curvature flow

Ravikanth Malladi, James A. Sethian

Proceedings Volume 2666, Image and Video Processing IV; (1996) https://doi.org/10.1117/12.234732
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

We present a class of PDE-based algorithms suitable for a wide range of image processing applications. The techniques are applicable to both salt-and-pepper gray-scale noise and full- image continuous noise present in black and white images, gray-scale images, texture images and color images. At the core, the techniques rely on a level set formulation of evolving curves and surfaces and the viscosity in profile evolution. Essentially, the method consists of moving the isointensity contours in an image under curvature dependent speed laws to achieve enhancement. Compared to existing techniques, our approach has several distinct advantages. First, it contains only one enhancement parameter, which in most cases is automatically chosen. Second, the scheme automatically stops smoothing at some optimal point; continued application of the scheme produces no further change. Third, the method is one of the fastest possible schemes based on a curvature-controlled approach.

Citation Download Citation

Ravikanth Malladi and James A. Sethian "Image smoothing and enhancement via min/max curvature flow", Proc. SPIE 2666, Image and Video Processing IV, (13 March 1996); https://doi.org/10.1117/12.234732

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KEYWORDS

Image enhancement

Smoothing

Switches

Binary data

Medical imaging

Diffusion

Image processing

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