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Article information
2016 , Volume 21, ¹ 1, p.49-59
Bychkov I.V., Rugnikov G.M., Fedorov R.K., Avramenko Y.V.
Interpreter of Spatial Object Query Language for raster image processing
Purpose. To expand the class of identifiable objects on raster images a priori knowledge is necessary. The required set of knowledge depends on the task. The existing identification methods are characterized by the use of a fixed set of knowledge and that is not enough. So further study in terms of formalization of knowledge and its application in the identification process is required. Methodology. On the basis of the deformable models and Prolog III we propose calculus of spatial objects. The calculus of spatial objects allows a user to express the knowledge and requirements to identifiable objects. The effectiveness of the proposed algorithms for the interpretation of images has been proven. The interpretation is based on the classic Prolog mechanism with backtracking, discarding unpromising branches, checking the spatial limitations and the use of A* algorithm and the multi start. Findings. The proposed interpreter differs from the existing ones by the feature, which allows the user to turn on and use a variety of knowledge in the recognition process. A series of experiments showed the efficiency of the interpreter spatial calculation objects for raster image processing. Originality/value. The main advantage of this method is the usage of the language, which can describe the shape, position, texture spectral characteristics of identifiable objects without changing the code recognition algorithm. In the logical methods the object features are extracted from images and stored in a knowledge base as the facts. The size of the knowledge base influences on the speed and the requirement for the amount of the computer RAM. Therefore, these methods work well on tasks with low dimensional feature space. In the proposed method, the information of the image is generated dynamically on demand, in accordance with the knowledge base, by the unification of built-in predicates.
[full text]
Keywords: prolog, image identification, image analysis, pattern recognition, deformable templates
Author(s):
Bychkov Igor Vyacheslavovich
Dr. , Academician RAS, Professor
Position: Director
Office: Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences
Address: 664033, Russia, Irkutsk, Lermontova st., 134
Phone Office: (3952) 45-30-61
E-mail: idstu@icc.ru
SPIN-code: 5816-7451Rugnikov Gennady Mikhailovich
Dr. , Senior Scientist
Position: Head of Departament
Office: Institute for System Dynamics and Control Theory Siberian Branch of RAS, Irkutsk Scientific Center of Siberian Branch of Russian Academy of Sciences
Address: 664033, Russia, Irkutsk, Lermontova st., 134
Phone Office: (3952) 45-30-06
E-mail: rugnikov@icc.ru
SPIN-code: 2947-8443Fedorov Roman Konstantinovich
PhD.
Position: Leading research officer
Office: Institute for System Dynamics and Control Theory, Siberian Branch of RAS, Irkutsk Scientific Center of Siberian Branch of Russian Academy of Sciences
Address: 664033, Russia, Irkutsk, Lermontova st., 134
Phone Office: (3952) 453108
E-mail: fedorov@icc.ru
SPIN-code: 5344-2226Avramenko Yuriy Vladimirovich
Office: Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences
Address: 664033, Russia, Irkutsk, Lermontov str., 134
Phone Office: (3952) 45-31-12
E-mail: avramenko@icc.ru
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Bibliography link:
Bychkov I.V., Rugnikov G.M., Fedorov R.K., Avramenko Y.V. Interpreter of Spatial Object Query Language for raster image processing // Computational technologies. 2016. V. 21. ¹ 1. P. 49-59
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