B.22. Filtering (a) You are provided with an image of the Dunedin area (Figure 2) and its corresponding array of Digital

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B.22. Filtering (a) You are provided with an image of the Dunedin area (Figure 2) and its corresponding array of Digital

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B 22 Filtering A You Are Provided With An Image Of The Dunedin Area Figure 2 And Its Corresponding Array Of Digital 1
B 22 Filtering A You Are Provided With An Image Of The Dunedin Area Figure 2 And Its Corresponding Array Of Digital 1 (83.46 KiB) Viewed 19 times
B.22. Filtering (a) You are provided with an image of the Dunedin area (Figure 2) and its corresponding array of Digital Numbers (Table 1). Provide the outcome of the filter provided in Table 2 for all the pixels identified by a grey background in Table 1. (4 marks) 10 9 8 8 8 8775795 9987 7 7 7 7 6 7 4 1 99777 7 6 4 2 11|1 10 9 7 7 7 5 235567 10 8 7 8 8 5 2 6 8 9 10 10 8 8 8 7 7 7 6 7 8 8888 87888 7 10 9 98985 4 4 3 3 2 3 2 11 9 10 11 10 8 9 6 Figure 2. Coarse image of the Dunedin area Table 1. Array of DN values 111 111 111 Table 2. Convolution kernel (b) What type of filter is this and what are its effects? (2 marks) (c) Explain how useful this filter would be in the context of a classified image. (2 marks) (d) Explain which filter(s) can be used to sharpen an image (i.e., to enhance the edges of an image) and how. (2 marks) 100111
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