CAJ | 학술논문

在将图像中的多种颜色或灰度量化成数目较少的颜色或灰度的过程中,存在着计算过于复杂、量化后图像偏差较大等问题,鉴于此,提出基于邻域灰度值聚类的图像色彩量化方法.首先结合邻域像素的灰度和空间信息对像素进行一维灰度化;然后采用基于像素灰度加权系数的改进模糊??均值聚类算法对像素进行聚类.分析和实验表明,该方法可以减少量化计算的复杂度,保持图像的整体层次,量化后图像偏差较小,对图像处理具有一定的实用价值.
재장도상중적다충안색혹회도양화성수목교소적안색혹회도적과정중,존재착계산과우복잡、양화후도상편차교대등문제,감우차,제출기우린역회도치취류적도상색채양화방법.수선결합린역상소적회도화공간신식대상소진행일유회도화;연후채용기우상소회도가권계수적개진모호??균치취류산법대상소진행취류.분석화실험표명,해방법가이감소양화계산적복잡도,보지도상적정체층차,양화후도상편차교소,대도상처리구유일정적실용개치.
@@@@For the main problems appearing in the process of reducing the number of either colors or gray level of the image, for example, the computation tends to be too complex and the image deviation tends to be too big, the method of image color quantization based on the clustering of neighborhood gray level is proposed. Firstly, the one-dimensional gray level expression of pixels is carried out by integrating the space and the gray information of the neighborhood pixels. Then the pixels are clustered by using the improved fuzzy ??-means clustering algorithm. The theoretical analysis and the experiment show that the proposed method can reduce the complexity of the quantization computation and maintain the overall level and the partial details of the image, and the image deviation becomes smaller after the quantization, which has the certain practical value to the imagery processing.