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Iterative method of regularization with application of advanced technique for detection of contours

Niedziela T., Stankiewicz A.

Journal of Technical Physics

2000

Vol. 41, no 3

275-283

This paper proposes a novel iterative method of regularization with application of an advanced technique for detection of contours. To eliminate noises, the properties of convolution of functions are utilized. The method can be accomplished in a simple neural cellular network, which creates the possibility of extraction of contours by automatic image recognition equipment.

Contour detection with the application of image convolutions with derivatives of Gaussian functions /\\$\ T. Niedziela, A. Stankiewicz, I. Merta

Niedziela T., Stankiewicz A., Merta I.

Journal of Technical Physics

1999

Vol. 40, no 2

181-188

The authors propose a method for extraction of a contour understood as an inflexion point of an image function in the direction of the image gradient vector. In the computer program accomplishing the method, the contour is detected as a passage through zero of a directional derivative of a scalar gradient field (gradient module) of a smoothed image (convolution with a Gaussian function), where the direction of derivative is the direction of the gradient vector. The method is illustrated on the basis of a highly noised image, where the comparison is made with the results of application of other existing definitions of the contour.