Yoshiura K, Tokumori K, Tanaka T, Shibaki N, Ban S, Araki K, Kanda S
Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Kyushu University, Fukuoka, Japan.
Dentomaxillofac Radiol. 1997 May;26(3):152-60. doi: 10.1038/sj.dmfr.4600229.
To develop a new quantitative method for the visual discrimination of image texture.
Two kinds of image phantoms were prepared, one for evaluating the effects of change in size and gray values of individual pixels (primitives) on perceived coarseness and the other for evaluating changes in groups of pixels (clusters) on perceived heterogeneity. The phantom images were displayed on a CRT and presented to 11 observers who assessed heterogeneity and coarseness on a 10-point scale between -5 and +5. On the basis of the observers' results, a new texture analysis method termed two-dimensional gray-scale clustering analysis was developed and applied to measure quantitatively the texture of the phantoms. The results obtained were then compared with those of the visual evaluation.
The size of the primitives and the clusters greatly affected the visual evaluation of heterogeneity and coarseness. Changes in the gray value had only a slight effect. The intra-observer variation for heterogeneity was significantly larger than that for coarseness. Two-dimensional gray-scale clustering analysis could differentiate heterogeneity from coarseness. A high correlation was obtained between the visual evaluation and the quantitative data.
Quantitative two-dimensional gray-scale clustering analysis appears to be a useful means of texture analysis.
开发一种用于视觉辨别图像纹理的新定量方法。
制备了两种图像模型，一种用于评估单个像素（基元）的大小和灰度值变化对感知粗糙度的影响，另一种用于评估像素组（簇）变化对感知异质性的影响。将模型图像显示在阴极射线管（CRT）上，并呈现给11名观察者，他们在-5至+5的10分制量表上评估异质性和粗糙度。根据观察者的结果，开发了一种称为二维灰度聚类分析的新纹理分析方法，并应用于定量测量模型的纹理。然后将获得的结果与视觉评估结果进行比较。
基元和簇的大小对异质性和粗糙度的视觉评估有很大影响。灰度值的变化影响较小。观察者内部异质性的变化明显大于粗糙度的变化。二维灰度聚类分析可以区分异质性和粗糙度。视觉评估与定量数据之间获得了高度相关性。
定量二维灰度聚类分析似乎是一种有用的纹理分析方法。
