Activity 14 – Color Image Segmentation

In image segmentation, a region of interest (ROI) must be selected before any processing is done. This ROI will be use to segment the whole image based on its feature.

Figure 1 shows an image of the object which is a pair of red shoes.

Figure 1. Original image

The ROI for this image was selected and is shown in Figure 2. Below the ROIs are its corresponding histogram. It can be seen that both histograms are different from one another thus the red-ness of the two ROIs are different.

Figure 2. (top,left)Horizontal and (top,right)vertical patches from the object and (bottom)their corresponding histograms

Using the ROIs, the image was reconstructed using Parametric Probability Distribution and Non-Parametric Probability Distribution.

Table 1. Comparison between the two techniques

It can be seen in the 2nd column that both images are not the same in terms of the lighting. This is because the two patches were not cropped on the same area so the area where the patches were obtained  was highlighted. For both patches in the 3rd column, both images have a few difference in terms of lighting. Comparing the two techniques, even the non-parametric probability distribution takes time to finish the reconstruction, it produces almost similar reconstruction even though the patches are not taken on the same place.

I know this is too late but still I made it. I give myself a grade of 9.3 for doing this activity. Thank you for your time.