Enhancement of dim small target through modified top-hat transformation under the condition of heavy clutter

Authors:
Xiangzhi Bai;Fugen Zhou;Ting Jin
Affiliations:
Image Processing Center, Beijing University of Aeronautics and Astronautics, 100191 Beijing, China;Image Processing Center, Beijing University of Aeronautics and Astronautics, 100191 Beijing, China;Image Processing Center, Beijing University of Aeronautics and Astronautics, 100191 Beijing, China
Venue:
Signal Processing
Year:
2010

Citing 8
Cited 1

Probabilistic Visual Learning for Object Representation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Morphological Image Analysis: Principles and Applications

Morphological Image Analysis: Principles and Applications
Moving dim point target detection with three-dimensional wide-to-exact search directional filtering

Pattern Recognition Letters
Automatic detection of clustered microcalcifications in digital mammograms using mathematical morphology and neural networks

Signal Processing
Vehicle detection from high-resolution satellite imagery using morphological shared-weight neural networks

Image and Vision Computing
Enhanced detectability of point target using adaptive morphological clutter elimination by importing the properties of the target region

Signal Processing
Detection of clustered microcalcifications in small field digital mammography

Computer Methods and Programs in Biomedicine
Enhanced detectability of small objects in correlated clutter using an improved 2-D adaptive lattice algorithm

IEEE Transactions on Image Processing

Technical Communication: Infrared small target enhancement and detection based on modified top-hat transformations

Computers and Electrical Engineering

Quantified Score

Hi-index	0.08

Visualization

Abstract

A new algorithm to enhance dim small target through modified top-hat transformation is proposed in this paper. Firstly, the property of top-hat transformation is analyzed following the property of small target regions. Secondly, a judging value is calculated following the properties of target region and top-hat transformation. Finally, the judging value is imported into the top-hat transformation to form the modified top-hat transformation. Because of the judging value in modified top-hat transformation, dim target can be significantly enhanced and heavy clutter can be effectively suppressed. Experimental results verified that the modified top-hat transformation for target enhancement under the conditions of heavy clutter and dim target intensity was effective and robust.