信阳师范学院学报（自然科学版）
信暘師範學院學報（自然科學版）
신양사범학원학보（자연과학판）
JOURNAL OF XINYANG NORMAL UNIVERSITY(NATURAL SCIENCE EDITION)
2014年
2期
296-298
,共3页
粒计算%球形粒%合并算子%彩色图像分割
粒計算%毬形粒%閤併算子%綵色圖像分割
립계산%구형립%합병산자%채색도상분할
granular computing%spherical granule%union operator%color image segmentation
针对基于聚类的彩色图像分割算法速度较慢，提出了彩色图像的球形粒计算分割算法。将彩色图像每个像素点表示为以该点RGB像素值为中心0为半径的球形粒，设计球形粒之间的合并算子，利用粒度阈值对两球形粒进行有条件合并，得到不同粒度的球形粒组成的球形粒集，以球形粒中心对应的RGB值代替球形粒包含像素点的RGB值。实验结果表明：与K-means算法和FCM算法相比，球形粒计算分割算法是稳定的而且分别加快了6倍和34倍。
針對基于聚類的綵色圖像分割算法速度較慢，提齣瞭綵色圖像的毬形粒計算分割算法。將綵色圖像每箇像素點錶示為以該點RGB像素值為中心0為半徑的毬形粒，設計毬形粒之間的閤併算子，利用粒度閾值對兩毬形粒進行有條件閤併，得到不同粒度的毬形粒組成的毬形粒集，以毬形粒中心對應的RGB值代替毬形粒包含像素點的RGB值。實驗結果錶明：與K-means算法和FCM算法相比，毬形粒計算分割算法是穩定的而且分彆加快瞭6倍和34倍。
침대기우취류적채색도상분할산법속도교만，제출료채색도상적구형립계산분할산법。장채색도상매개상소점표시위이해점RGB상소치위중심0위반경적구형립，설계구형립지간적합병산자，이용립도역치대량구형립진행유조건합병，득도불동립도적구형립조성적구형립집，이구형립중심대응적RGB치대체구형립포함상소점적RGB치。실험결과표명：여K-means산법화FCM산법상비，구형립계산분할산법시은정적이차분별가쾌료6배화34배。
Considering the low segmentation speed of color image segmentation based on clustering method, a color image segmentation algorithm was proposed based on spherical granular computing. For a color image, each pixel point was represented as a sphere with the center RGB and radii 0, the union operator between two spherical granules was designed, the granularity threshold was used to unite two sphere granules and obtain the sphere granules with different granularities. The RGB of pixels belonging to the sphere granule was replaced by that of the sphere granule’ s center. The experimental results showed that the spherical granular computing segmentation algorithm was stable and speeded up 6 times and 34 times compared with K-means and FCM segmentation algorithms,respectively.
