Line Features of Detail Enhancement Thermal Infrared Image for SLAM

Fractal Enhancement of Cartographic Line Detail

In plane geometry curves have a dimension of exactly 1 and no width. In nature, all curvilinear features have width, and most have dimension greater than 1, but less than 2. Many phenomena, such as coastlines, have the same "look," even when viewed at greatly varying scales. The former property is called "fractional dimensionality," and the latter is called "self similarity." Curves digitized f...

Display and detail enhancement for high-dynamic-range infrared images

A new feature parametrization for monocular SLAM using line features

This paper presents a new monocular SLAM algorithm that uses straight lines extracted from images to represent the environment. A line is parametrized by two pairs of azimuth and elevation angles together with the two corresponding camera centres as anchors making the feature initialization relatively straightforward. There is no redundancy in the state vector as this is a minimal representatio...

Physics-based image enhancement for infrared thermography

Thermal imaging with an infrared camera can be used to view the location and intensity of heat sources in space and time. In a thermal conductor, thermal diffusion blurs out those heat sources. Knowledge of the physics of thermal diffusion can be used to enhance the spatial and temporal resolution of thermal images. In two dimensions, quantitative reconstruction of the heat source intensity is ...

Enhancement of Infrared Image: a Review

This paper provides an up-to-date critical survey of enhancement of infrared images by two popular algorithms namely spatial and spatiotemporal homomorphic filtering (SHF and STHF) based upon a infrared imaging model. Although spatiotemporal homomorphic filtering may reduce the number of iterations greatly in comparison to spatial one for a similar degree of convergence by making explicit use o...