Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Image and Vision Computing
Detection of clustered microcalcifications in small field digital mammography
Computer Methods and Programs in Biomedicine
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Multiple layers block overlapped histogram equalization for local content emphasis
Computers and Electrical Engineering
Visual impact enhancement via image histogram smoothing and continuous intensity relocation
Computers and Electrical Engineering
Toggle and top-hat based morphological contrast operators
Computers and Electrical Engineering
Hi-index | 0.00 |
To simply and efficiently enhance and detect infrared small target, a new algorithm through target enhancement by using modified top-hat transformations is proposed. Firstly, the modified top-hat transformations following the property of small target region are discussed, which could efficiently extract the possible target and dark regions. Secondly, the potential target regions are enhanced by using a target enhancement operation which is formed through enlarging the contrast between bright and dark regions using the modified top-hat transformations. Finally, an iterative thresholding method is used to automatically detect the target region. Various infrared images embedded with small targets are used to verify the efficiency of the algorithm, and experimental results show that our algorithm is very efficient.