计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2014年
6期
158-163
,共6页
人工蜂群算法(ABC)%图像分割%二维Otsu方法
人工蜂群算法(ABC)%圖像分割%二維Otsu方法
인공봉군산법(ABC)%도상분할%이유Otsu방법
artificial bee colony(ABC) algorithm%image segmentation%two dimensional algorithm
为了迅速准确的分割图像，通过对传统蜂群算法选择蜜源方式和缺陷蜜源的调整，提出了一种基于改进的人工蜂群算法分割二维Otsu图像的新方法。此方法把图像阈值由人工蜂群算法中的蜜蜂表示，通过引领蜂、侦查蜂和跟随蜂之间的信息共享和分工协作来求出最佳阈值，成功解决了传统二维Otsu图像分割计算量大、运行时间长的缺陷。实验结果表明，所提出的算法不仅能得到理想分割结果，而且分割速率快。
為瞭迅速準確的分割圖像，通過對傳統蜂群算法選擇蜜源方式和缺陷蜜源的調整，提齣瞭一種基于改進的人工蜂群算法分割二維Otsu圖像的新方法。此方法把圖像閾值由人工蜂群算法中的蜜蜂錶示，通過引領蜂、偵查蜂和跟隨蜂之間的信息共享和分工協作來求齣最佳閾值，成功解決瞭傳統二維Otsu圖像分割計算量大、運行時間長的缺陷。實驗結果錶明，所提齣的算法不僅能得到理想分割結果，而且分割速率快。
위료신속준학적분할도상，통과대전통봉군산법선택밀원방식화결함밀원적조정，제출료일충기우개진적인공봉군산법분할이유Otsu도상적신방법。차방법파도상역치유인공봉군산법중적밀봉표시，통과인령봉、정사봉화근수봉지간적신식공향화분공협작래구출최가역치，성공해결료전통이유Otsu도상분할계산량대、운행시간장적결함。실험결과표명，소제출적산법불부능득도이상분할결과，이차분할속솔쾌。
In order to segment images exactly and quickly, based on the traditional adjustment of colony algorithm selection strategy and defect honey, a new method based on a improved Artificial Bee Colony algorithm segmenting two dimensional Otsu images is proposed. This method looked on the image threshold value as artificial colony algorithm of the bees. The best threshold is approached in parallel via the division of labor, cooperation and information sharing of employed bees, onlookers and scouts. Effectively solved the problem of the traditional two dimensional Otsu image segmentation calculation defects, long operation time. Experimental results show that the proposed algorithm not only can get the ideal segmentation results, but only improved the segmentation speed.
