Abstract
A novel neural oscillation model is proposed to perform the contour detection and separation for color images. The model improves the prototype of relaxation oscillation and combines four kinds of image features as the external stimulation, in order to control the oscillation. Experimental results show that the contours of different objects can be detected by oscillation and separated by desynchronization. This model may help to promote the investigation on the mechanism of the neural system.
This work is supported by National Basic Research Program of China (No. 2005CB724303), National Natural Science Foundation of China (No. 60671062), and Shanghai Leading Academic Discipline Project (No. B112).
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Ma, Y., Gu, X., Wang, Y. (2009). A Neural Oscillation Model for Contour Separation in Color Images . In: Köppen, M., Kasabov, N., Coghill, G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03040-6_94
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DOI: https://doi.org/10.1007/978-3-642-03040-6_94
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