Detection of Object Edges in Aerospatial Cartographic Images

• Autorzy: Degtyarev S. V. , Miroshnichenko S. Yu. , Titov V. S.
• Języki publikacji: EN

Abstrakty

EN

Modern geographic information systems (GIS) have a wide range of applications, including town-planning, town traffic control, ecology, logistics and others. These GIS require frequent update's using information supplied by aerospatial cartographic images. The standard approach to processing aerospatial cartographic images is interactive vectorization using software tools. This paper presents a method for object edge detection which is part of automated vectorization of aerospatial cartographic images. The method uses edge detection with local scale estimation and is well suited for locating anthropogenic objects (such as buildings and roads). The effectiveness of the proposed method has been experimentally verified on real aerospatial cartographic images.

Słowa kluczowe

EN

image processing; aerospatial images vectorization; edge detection; local scale estimation

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2009
• Tom: Vol. 18, No. 4
• Strony: 427--437
• Opis fizyczny: Bibliogr. 6 poz., il., wykr.

Twórcy

autor

Degtyarev S. V.

autor

Miroshnichenko S. Yu.

autor

Titov V. S.

• Kursk State Technical University

Bibliografia

• [1] Canny J. A Computational Approach to Edge Detection. IEEE Trans. Pattern Recognition and Machine Intelligence. Vol. 8, No. 6. 1986, 679-698.
• [2] Deriche R. Using Canny's Criteria to Derive a Recursively Implemented Optimal Edge Detector. Computer Vision. Vol. 1, No. 2, 1987, 167-187.
• [3] Gonzales R., Woods R. Digital Image Processing, 2nd edition, Pearson education. 2002.
• [4] van Vliet L., Young I., Beckers A. An Edge Detection Model Based on Nonlinear Laplace Filtering. Pattern Recognition and Artificial Interlligence. Vol. 7, 1988, 63-73. 167-187.
• [5] Elder J., Zucker S. Local Scale Control for Edge Detection and Blur Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 20, No. 7, 1998. 699-716.
• [6] Pratt W. Digital Image Processing. 3rd edition, Wiley. 2001.