Method of contour and its characteristic feature extraction from a noisy image

Tadeusz Niedziela; Grzegorz Baron; Krzysztof Rogala

doi:10.1117/12.435903

8 August 2001 Method of contour and its characteristic feature extraction from a noisy image

Tadeusz Niedziela, Grzegorz Baron, Krzysztof Rogala

Proceedings Volume 4516, Optoelectronic and Electronic Sensors IV; (2001) https://doi.org/10.1117/12.435903
Event: Optoelectronic and Electronic Sensors IV, 2000, Gliwice, Poland

Abstract

A new method of contour and its characteristic feature extraction form noisy image is presented. For image smoothing, the image convolution with a Gaussian function has been used. Then an inflexion point of an image function in the direction of the image gradient vector has been used as a new contour definition. Behavior of this image gradient gives also the information about spatial orientation of contour segments used as invariant characteristic features. Thus, the angles between segments have been calculated by means of operations on the histogram of contour angles. The method application on a highly noised image has been used for illustration of proper method works.

Citation Download Citation

Tadeusz Niedziela, Grzegorz Baron, and Krzysztof Rogala "Method of contour and its characteristic feature extraction from a noisy image", Proc. SPIE 4516, Optoelectronic and Electronic Sensors IV, (8 August 2001); https://doi.org/10.1117/12.435903

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KEYWORDS

Image segmentation

Convolution

Feature extraction

Neural networks

Image analysis

Spatial frequencies

3D image processing

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