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Question 1
Image can be represented as matrices. They can be of two dimension or three-dimension
matrices. A grayscale image has 2D with the varying intensity of each pixel. A pixel is a smallest
element an image (Jabri et al., 2000). Each pixel has a unique row and column index. For color
image, a third dimension is added which carried the colour component of a pixel. Depending
of the color space format, this dimension has different parameter (Szeliski, 2010). For RGB,
each the third dimension is used to store the color channel information. Every color can take
a value between 0 and 255 in 8-bit resolution.
The image was first imported in Matlab and the converted into gray scale. When the matrix
of the image was inspected from the workspace it was noted that the black background was
represented with values of 1 and 0.
Using a for loop all the pixels with values above one was added and counted. The average of
was evaluated by dividing the total sum by the total count. The process was repeated to count
those pixels above the average pixel value. The proportion of the pixel categories is as shown
in figure 1 below. Majority of the pixels belonged to the poorly insulated part of the...