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Detection of line segments

Tomczyk A.

Journal of Applied Computer Science

2014

Vol. 22, nr 2

81--90

In the paper a method of line segment detection in the images is presented. It bases on existing LSD approach which was designed to be a parameterless technique dedicated to analysis of real world scenes. In consequence it encounters problems with other types of images, e.g. medical images, where the characteristic of the structures may be completely different. The method proposed in this work allows to tune its parameters for that characteristic and thus allows to achieve satisfactory results also for medical data. The effect of the approach is illustrated with mammographic images.

Syntactic segmentation of function graph type of curves

Bielecka M.

Machine Graphics and Vision

2007

Vol. 16, No. 1/2

39-55

In this paper structural analysis of patterns being a special type of curves is presented. The recognized objects are segmented according to their structural properties into primitive patterns representing generic shapes. Then, an algebraic formula describing the structure of the analyzed curve is created. The description is unique.

Recognition of cartographic symbols based on a structural model of a shape

Stąpor K.

Machine Graphics and Vision

1999

Vol. 8, No. 1

129-142

This paper presents a method for recognition of cartographic symbols that is based on a structural model of a general 2D-curve. The presented method utilizes an algebraic description of a curve structure described in [7]. Feature extraction is based in the vectorized skeleton generated by the non-pixelwise thinning algorithm, [14]. From such representation, a structural description of a cartographic symbol is obtained. Finding a match between a model and a given, unknown 2D-shape, is performed through the devised, hybrid procedure, consisting of the structural matching algorithm with followed distance calculation in a parameter space. Experimental results shoen that the method gives satisfying recognition rates.