Mathematical morphology is a fundamental tool based on order statistics for image
processing, such as noise reduction, image enhancement and feature extraction, and is well …

Component-trees model the structure of grey-level images by considering their binary level-
sets obtained from successive thresholdings. They also enable to define anti-extensive …

In this paper, we present a new method for attribute filtering, combining contrast and
structural information. Using hyperconnectivity based on k-flat zones, we improve the ability …

This work describes the application of a new strategy called brain programming for
automating the design of visual attention (VA) models. Nowadays, a term known as cognitive …

In this article, we discuss the way to derive connected operators based on the component-
tree concept and devoted to multi-value images. In order to do so, we first extend the grey …

Differential Morphological Profiles (DMPs) and their generalized Differential Attribute
Profiles (DAPs) are spatial signatures used in the classification of earth observation data …

This paper proposes a new method of processing color images using mathematical
morphology techniques. It adapts the Max-tree image representation to accommodate color …

Self‐dual morphological operators (SDMO) do not rely on whether one starts the sequence
with erosion or dilation; they treat the image foreground and background identically …

Connected operators based on hierarchical image models have been increasingly
considered for the design of efficient image segmentation and filtering tools in various …

提出了一种模仿人类视觉机制的区域-细节的图像分割算法. 首先提取图像边缘,
然后将边缘分段切割, 得到端点集合, 然后从端点集合生成Delaunay 三角形网络, 以Delaunay …