CAJ | 학술논문

为了对彩色图像进行有效分割，提出了一种基于模糊颜色提取的新型彩色图像分割算法，这种算法可以有效的进行区域分割。首先，提出了一种模糊颜色提取方法，然后介绍了该算法，算法经过迭代可以选择典型的种子颜色来提取颜色分量，最后应用区域生长法可以确保所需区域的完整连通性。区别于现有的图像分割方法，本方法是将相同的像素分成几个模糊集，分割成功率提高10%左右。实验结果表明该算法可以合理分割出所需区域，避免冗余，并且具有较好的噪声抑制力和鲁棒性。
위료대채색도상진행유효분할，제출료일충기우모호안색제취적신형채색도상분할산법，저충산법가이유효적진행구역분할。수선，제출료일충모호안색제취방법，연후개소료해산법，산법경과질대가이선택전형적충자안색래제취안색분량，최후응용구역생장법가이학보소수구역적완정련통성。구별우현유적도상분할방법，본방법시장상동적상소분성궤개모호집，분할성공솔제고10%좌우。실험결과표명해산법가이합리분할출소수구역，피면용여，병차구유교호적조성억제력화로봉성。
In this paper, we proposed a new color image segmentation algorithm based on fuzzy color extractor to segment out meaningful region. Firstly put forward a method for extracting fuzzy color, and then introduces the algorithm, the algorithm through iterative can choose typical seed color used to extract the color components. Finally the application of region growing method can ensure the desired area be connective. Different from other segmentation method, this method is put the same pixel divided into several fuzzy sets, the success rate of segmentation improved about 10%. The experimental results show that the algorithm can reasonably required region segmentation,avoid redundancy, also has a stronger anti-nose ability and good ro-bustness.