Segmentation of infrared (IR) ship images is always a challenging task, because of the
intensity inhomogeneity and noise. The fuzzy C-means (FCM) clustering is a classical …

Capturing of infrared images is an easy task but perceptual visualization is difficult due to
environmental conditions such as light rain, partly cloudy, mostly cloudy, haze, poor …

This paper presents an efficient method for ship target segmentation in infrared (IR) images.
It consists of mainly two procedures: iterative image segmentation and ship target selection …

Group decision making through the AHP has received significant attention in contemporary
research, the primary focus of which has been on the issues of consistency and consensus …

In this paper, an optimized contrast enhancement method combining global and local
enhancement results is proposed to improve the visual quality of infrared images. Global …

To find the trade-off between providing an accurate perception of the global scene and
improving the visibility of details without excessively distorting radiometric infrared …

In this paper we have worked on the problem of automatic ship detection in IR images.
Segmentation of IR ship images is always a challenging task because of the intensity …

A modified matched subspace detector (MSD) has been recently proposed for detecting a
barely discernible object in an additive Gaussian background clutter using a single pixel in a …

High-quality thermal infrared (IR) images are always preferred in numerous real-world
applications. However, acquired IR images, which have low contrast and signal-to-noise …

In this paper, a new contrast enhancement technique based on bi-dimensional empirical
mode decomposition (BEMD) is proposed to enhance the target details in low contrast …