Abstract
Recognizing an object from its background in a real-world image is always a very challenging task. During the recognition process, shape (or contour) information of an object is useful. In this paper, we build a bio-inspired contour detection model which can organize the edge information into a structured data form. Biological primary visual cortex, which can be simulated by computer, is specialized in detecting orientation of edge to producing a set of line segments. Then we propose the concept of route that indicates a continuous part of the contour. The set of line segments is divided into several routes which are the basic processing units of following recognition steps.
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Wei, H., Ge, W. (2014). An Orientation Column-Inspired Contour Representation and Its Application in Shape-Based Recognition. In: Zeng, Z., Li, Y., King, I. (eds) Advances in Neural Networks – ISNN 2014. ISNN 2014. Lecture Notes in Computer Science(), vol 8866. Springer, Cham. https://doi.org/10.1007/978-3-319-12436-0_45
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DOI: https://doi.org/10.1007/978-3-319-12436-0_45
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