Generalized Morphological Operators Applied to Map-Analysis

The concept of strictness of morphological operators is discussed, and it is shown that the ordinary morphological operators have extreme strictness which leads to sensitivity to noise and digital artifacts. Based on this observation new morphological operators that generalize the ordinary morphological operators, are defined. The generalized operators have controllable strictness and so excessive erosion and dilation may be prevented. Some properties of the generalized morphological operators are discussed, and it is shown that they may have a linear filtering interpretation. The paper concludes with some preliminary examples demonstrating the advantages of the generalized morphological operators.

[1]  Xinhua Zhuang,et al.  Image Analysis Using Mathematical Morphology , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Anil K. Jain Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.

[3]  Its'hak Dinstein,et al.  Morphological Approach for Dashed Lines Detection , 1995, GREC.

[4]  Its'hak Dinstein,et al.  Directional mathematical morphology approach for line thinning and extraction of character strings from maps and line drawings , 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

[5]  Hiromitsu Yamada,et al.  Directional Mathematical Morphology and Reformalized Hough Transformation for the Analysis of Topographic Maps , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Its'hak Dinstein,et al.  Adaptive Directional Morphology with Application to Document Analysis , 1996, ISMM.

[7]  James R. Gattiker,et al.  A System for Interpretation of Line Drawings , 1990, IEEE Trans. Pattern Anal. Mach. Intell..