Probabilistic pseudo-morphology for grayscale and color images
作者：
Highlights：
• We propose a pseudo-morphology based on probabilistic tools.
• We use Chebyshev inequality and PCA for estimating pseudo-extrema of a set.
• Our operators are linear or non-linear depending on the choice of a parameter.
• We extend the approach to multivariate images, particularly for the color domain.
• Validation is performed through texture feature extraction.
摘要
•We propose a pseudo-morphology based on probabilistic tools.•We use Chebyshev inequality and PCA for estimating pseudo-extrema of a set.•Our operators are linear or non-linear depending on the choice of a parameter.•We extend the approach to multivariate images, particularly for the color domain.•Validation is performed through texture feature extraction.
论文关键词：Mathematical morphology,Fractal dimension,Texture analysis
论文评审过程：Received 1 March 2013, Revised 17 July 2013, Accepted 23 August 2013, Available online 4 September 2013.
论文官网地址：https://doi.org/10.1016/j.patcog.2013.08.021
