计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2013年
24期
161-164
,共4页
克隆选择算法%协同进化%图像分割%Otsu
剋隆選擇算法%協同進化%圖像分割%Otsu
극륭선택산법%협동진화%도상분할%Otsu
Clonal Selection Algorithm(CSA)%coevolution%image segmentation%Otsu
传统二维Otsu算法存在计算复杂度高、实时性差等缺点。针对这一不足，受生物群体成员间协作关系的启示，对克隆免疫算法进行改进，提出了一种基于种内协同的克隆选择算法（Clonal Selection Algorithm based on Cooperation within Species，CSACS），将其与克隆选择算法（Clonal Selection Algorithm，CSA）进行对比测试，将其应用于二维Otsu图像分割。测试实验表明：该算法能加快收敛速度，具有较好的实时性，且分割效果较为理想。
傳統二維Otsu算法存在計算複雜度高、實時性差等缺點。針對這一不足，受生物群體成員間協作關繫的啟示，對剋隆免疫算法進行改進，提齣瞭一種基于種內協同的剋隆選擇算法（Clonal Selection Algorithm based on Cooperation within Species，CSACS），將其與剋隆選擇算法（Clonal Selection Algorithm，CSA）進行對比測試，將其應用于二維Otsu圖像分割。測試實驗錶明：該算法能加快收斂速度，具有較好的實時性，且分割效果較為理想。
전통이유Otsu산법존재계산복잡도고、실시성차등결점。침대저일불족，수생물군체성원간협작관계적계시，대극륭면역산법진행개진，제출료일충기우충내협동적극륭선택산법（Clonal Selection Algorithm based on Cooperation within Species，CSACS），장기여극륭선택산법（Clonal Selection Algorithm，CSA）진행대비측시，장기응용우이유Otsu도상분할。측시실험표명：해산법능가쾌수렴속도，구유교호적실시성，차분할효과교위이상。
Traditional two-dimensional Otsu’s method has the disadvantages of high computational complexity, poor real-time performance. In order to improve its efficiency, inspired by the collaborative relationships among group members, a Clonal Selection Algorithm based on Cooperation within Species(CSACS)is proposed. CSACS is compared with Clonal Selection Algorithm(CSA), and is used to image segmentation. The experimental results show that:the algorithm can accelerate the con-vergence speed, has good real-time ability, and its segmentation effect is very well.
