Department of Computer Science

Permanent URI for this collectionhttp://197.255.125.131:4000/handle/123456789/23129

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    Motion estimation in flotation froth using the Kalman filter
    (IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015-11) Amankwah, A.; Aldrich, C.
    Machine vision systems have been used to monitor mineral froth flotation systems since the 1990s and their ability to track key performance indicators of the systems online is critical to improved plant operation. One of the challenges faces by these computer vision systems, is estimation of the motion of the froth, which is hindered by the simultaneous deformation, bursting and merging of bubbles. In this paper, we propose a block based motion estimation method using Kalman filtering to improve the motion vector estimates resulting from the new-three-step-search technique. Experimental results derived from flotation froth video sequences are presented.
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    A SPATIAL INFORMATIO N MEASURE METHOD FOR HYPERSPECTRAL IMAGE VISUALIZATION
    (IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015-11) Amankwah, A.; Aldrich, C.
    This paper presents a new band selection method for the visualization of hyperspectral images. The method selects three relevant spectral bands to build the red-green-blue composite. The proposed method uses not only mutual information, but also spatial information to select the bands. Results from the proposed method are presented and compared to other state-of-the-art methods in terms of informative content, gradient magnitude and variance. The results show that the proposed method compares favourably with alternative approaches.