مشاهده مشخصات مقاله
Cellular Learning Automata-Based Color Image Segmentation using Adaptive Chains
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نویسنده (ها) |
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Ahmad Ali Abin
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Mehran Fotouhi
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Shohreh Kasaei
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مربوط به کنفرانس |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
This paper presents a new segmentation method for
color images. It relies on soft and hard segmentation
processes. In the soft segmentation process, a cellular
learning automata analyzes the input image and closes
together the pixels that are enclosed in each region to
generate a soft segmented image. Adjacency and
texture information are encountered in the soft
segmentation stage. Soft segmented image is then fed
to the hard segmentation process to generate the final
segmentation result. As the proposed method is based
on CLA it can adapt to its environment after some
iterations. This adaptive behavior leads to a semi
content-based segmentation process that performs well
even in presence of noise. Experimental results show
the effectiveness of the proposed segmentation method. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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