Texture Filters and Fractal Dimension on Image Segmentation

• 作者: Beatriz Marrón
• 来源期刊: 信号与信息处理(英文)
• 学科: 工学
• 关键词: Textural Features CO-OCCURRENCE Matrix TEXTURE SPECTRUM TEXTURE Classification FRACTAL DIMENSION
• 年，卷（期）: 2018,（3）
• 页码范围: 229-238
• 页数: 10页
• 分类号: TP39

摘要

Texture analysis is important in several image segmentation and classification problems. Different image textures manifest themselves by dissimilarity in both the property values and the spatial interrelationships of their component texture primitives. We use this fact in a texture discrimination system. This paper focuses on how to apply texture operators based on co-occurrence matrix, texture filters and fractal dimension to the problem of object recognition and image segmentation.