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ntelligent Line Segment Perception With Cortex-Like Mechanisms
Liu, Xilong
AbstractThis paper proposes a novel general framework
for line segment perception, which is motivated by a biological visual cortex, and requires no parameter tuning. In this
framework, we design a model to approximate receptive fields of
simple cells. More importantly, the structure of biological orientation columns is imitated by organizing artificial complex and
hypercomplex cells with the same orientation into independent
arrays. Besides, an interaction mechanism is implemented by
a set of self-organization rules. Enlightened by the visual topological theory, the outputs of these artificial cells are integrated to
generate line segments that can describe nonlocal structural information of images. Each line segment is evaluated quantitatively
by its significance. The computation complexity is also analyzed.
The proposed method is tested and compared to state-of-the-art
algorithms on real images with complex scenes and strong
noises. The experiments demonstrate that our method outperforms the existing methods in the balance between conciseness
and completeness.

KeywordArtificial Cells Biological Visual Cortex Line Segment Perception
Document Type期刊论文
Affiliation1.Cao, Zhiqiang
2.Gu, Nong
3.Nahavandi, Saeid
4.Zhou, Chao
5.Tan, Min
Recommended Citation
GB/T 7714
Liu, Xilong. ntelligent Line Segment Perception With Cortex-Like Mechanisms[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2015(12):1522-1534.
APA Liu, Xilong.(2015).ntelligent Line Segment Perception With Cortex-Like Mechanisms.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS(12),1522-1534.
MLA Liu, Xilong."ntelligent Line Segment Perception With Cortex-Like Mechanisms".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS .12(2015):1522-1534.
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