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Part 1: Writc True(D) or False(E) before each of the following statements. IID Manka 1. Goal of computer Vision is to perceive the stary behind the picture. 2. Mean Shift based Tracking uses Direction and Magnitude of the image. 3. The color code 00FF00 represents green color. 4. Nearest ncighbor matching works based on the Euclidean distance between keypoints 5. Adaptive Thresholding is one of the most common global thresholding techniques. 6. Exhaustive Search requirs more computational power then the mean shif based object tracking method. 7. (x,y)(x,y) is a reflection of image over the x axis. 8. Y-axis in a histogram represents the frequency of the occurrence of data. 9. Histogram sliding is used to increase the contrast in an image. 10. In Keypoint Localization, "Edge" keypoints are sensitive to noisc, thus should be climinated. 11. The boundary of an image can be deducted using the morphological opentions. 12. Side lengths change when an image is reflected. 13. The location of a figure changes when a figure is translated. 14. Dilation shrinks the connected set of Is of a binary image, 15. bpp value of 6 is enough to represent 128 shades of a color. 16. When a figure is rotated, the area and perimeter increase 17. It is better to use the formula (R+G+B)3 instead of R/3+G/3+B/3 when converting RCB lo gray sale 18. For bpp =16, the transformation "output =255-inpul" will produce negalive of the image. 19. Looking at histogram, one can tell if the image is a black and whitc or a groy scale. 20. To get crisp image of fast-moving object, we should increase stutter time