[SOLVED] Image processing Project #6

A robotic arm is implemented in fruit picking. Consider the color image, fruit on tree.tif below, (a) apply Otsu’s
optimal global thresholding (single threshold) to R component, and (b) apply K-means clustering using T = 1, 5
and 10 to the full-color image (RGB) to extract the plums (dividing into 2 clusters).
Project #6
assign December 21, 2020 due December 26, 2020
Your report (Word or pdf format) should contain:
• Source codes (30%)
• Plot of the curve of between-class variance depending on all possible threshold values (20%)
• Image of patterns extracted by Otsu’s algorithm (plotted in the same way as the color-slicing example shown below) (20%)
• Images of patterns extracted by K-means clustering with different threshold values (plotted in the same way as the colorslicing example shown below) (30%)
Note: Images must be plotted with good resolution.
Upload your report to new e3 before due time!
Note: You need to scale the intensities
of the image to the range [0, 1] first!
Original fullcolor image
Mid-gray
tone