Q 1(a) [6 Marks] Explain, in detail, the terms listed below. In each case, outline a specific example of how each of the image processing and analysis operations are used in practice. i. Contrast Stretching. ii. Image Deconvolution. iii. Histogram Matching. Q 1 (b) [4 Marks] Outline some of the key reasons why we would use Machine Vision systems for industrial applications such as automated inspection or process control. What are the key differences between Human and Machine vision? Q 1(c) [4 Marks] Outline the operation of the 33 Mean and 33 Median filters. Apply both filters to the shaded pixels [20 and 50] highlighted in the image segment illustrated in Figure Q1.1. Your answer should clearly show how all values are calculated. Figure Q1.1: Image segment. Q 1(d) [6 Marks] Compare and contrast the standard Roberts and Prewitt approaches to edge detection. State the disadvantages of both approaches. Illustrate the operation of the Roberts and Prewitt edge detection techniques on the centre-shaded pixel [35] in image segment illustrated in Figure Q1.2. Your answer should clearly show how all values are calculated. Figure Q1.2: Image segment EE425 - Image Processing and Analysis Semester 1 Examinations 2021/2022 Page 2 of 6 Q 1(e) [5 Marks] Outline the key elements of the multi-stage Canny edge detection process. Clearly indicate the role of the three key control parameters (standard deviation, upper and lower threshold) in this approach. What are the key issues with this edge detector