图像纹理
人工智能
计算机视觉
图像分割
计算机科学
预处理器
尺度空间分割
基于分割的对象分类
分解
图像(数学)
特征检测(计算机视觉)
分割
模式识别(心理学)
图像处理
范围分割
基于最小生成树的图像分割
纹理(宇宙学)
生物
生态学
作者
Yafeng Li,Qijun Zhao,Wenbo Zhang,Pan Fan,Renrui Zhang,Jieqi Sun,Jieqi Sun,Jing Li
标识
DOI:10.1049/cje.2020.08.006
摘要
Image segmentation and image decomposition are fundamental problems in image processing. Image decomposition methods for separating images into cartoon and texture components can effectively serve different image processing tasks because different components can be respectively treated in more effective way. However, image decomposition methods are currently simply taken as an independent preprocessing step, and particularly in image segmentation different effects of cartoon and texture components have not been considered. This paper presents a novel simultaneous cartoon-texture image segmentation and image decomposition method to boost the performance of both segmentation and decomposition. We design a fast alternating optimization algorithm to solve the proposed model. Experimental results demonstrate the outstanding performance of the proposed method on both image segmentation and image decomposition.
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