Abstract
Object detection is vital for visual processing applications. In this work, the desired object in an image is detected by the help of the wavelet coefficient feature (WCF) extraction and region growing technique. The region growing technique is based upon the appropriate selection of seed block computation and adjacency thresholding technique. The novelty of the proposed work is based on computation of seed block using WCF from the dynamics of the image instead of an image itself. Haar filter has been applied to transform the image after two level of decomposition for WCF extraction and to take care of the reduction in time complexity of the system. The extensive simulation-based experiment demonstrates the proposed methodology efficiently detects the object even in the presence of complex or cluttered (dynamic) background.
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Sahoo, T., Mohanty, B. (2020). Novel Region Growing Mechanism for Object Detection in a Complex Background. In: Pradhan, G., Morris, S., Nayak, N. (eds) Advances in Electrical Control and Signal Systems. Lecture Notes in Electrical Engineering, vol 665. Springer, Singapore. https://doi.org/10.1007/978-981-15-5262-5_2
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DOI: https://doi.org/10.1007/978-981-15-5262-5_2
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