Presented in this paper are the designs of several algorithms which enable the identification and tracking of various regions within a series of images using FPGA technology. Two example probLem domains in the areas of plasma physics and observational astronomy have been expolored. In the plasma physics application, an initial pixel extraction technique has been expanded to include spatial (related to the distance from a cathode) and value measurements (based on intensity values), which are subsequently merged in order to identify different intensity / emissivity regions within a plasma assisted deposition system. The optimum combination of these and other techniques are discussed, together with their reasons for selection. The control signals, decoding method and subsequent processing steps, associated with how a point within individual images is selected, will also be presented. In the astronomical application, a variation of a scene change detection mechanism is shown and how this system was adapted in order to track and chart the motion of Near-Earth Objects (NEOs).
Presented in this paper is the design of a skin filter which unlike many systems already developed for use, this system will not use RGB or HSI colour but an 8-bit greyscale instead. This is done in order to make the system more convenient to employ on an FPGA, to increase the speed to better enable real-time imaging and to make it easier to combine with the previously designed binary based algorithms. This paper will discuss the many approaches and methods that could be considered such as Bayes format and thresholds, pixel extraction, mathematical morphological strings, edge detection or a combination of the previous and a discussion about which provided the best performance. The research for this skin filter was carried out in two stages, firstly on people who had an ethnic origin of White -British, Asian or Asian British, Chinese and Mixed White and Asian. The second phase which won't be included here in great detail will cover the same principles for the other ethnic backgrounds of Black or Black British -Caribbean or Africa, Other Black background, Asian or Asian British -Indian, Pakistani or Bangladeshi. This is due to the fact that we have to modify the parameters that govern the detection process to account for greyscale changes in the skin tone, texture and intensity; however the same principles would still be applied for general detection and integration into the previous algorithm. The latter is discussed and what benefits it will give.
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