Abstract
The target detection of digital image is one of the main content in computer vision research, which has a wider use. This paper presents an algorithm of the fuzzy small target detection for digital image. First, all the pixel values are looked as a set of elements with the corresponding address, and the small target is determined according to the need, so the image pixels are divided into two sets which includes target set and its complementary set; then the addresses of the storage target pixels are located; the next step to do is calculating the thresholds of target set and its complementary set; Finally, the binarization operation is applied to the small target set and its complement set by the calculated threshold. The test results show that this algorithm for small target detection is very effective.
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Wang, S. (2015). An Adaptive Detection Algorithm for Small Targets in Digital Image. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds) Advances in Image and Graphics Technologies. IGTA 2015. Communications in Computer and Information Science, vol 525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47791-5_38
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DOI: https://doi.org/10.1007/978-3-662-47791-5_38
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