University of Alabama at Birmingham ?computer Method Project

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bzq51155

Programming

University of Alabama at Birmingham

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i have homework for computer method class, i upload what u need on attachment , and i will upload one my friend homework he got a 100 on it so u can follow the steps, and i will upload the teacher sample report

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10:04 LTE X Х HW9 - Creative Questions.pdf 000 the image below, calculate the percentage surface area of the house is not we" insulated: defined as being hotter than the average surface 2 of 4erature of the house (i.e., the “average” color”). Assume that any pixels which are not black are part of the house. 11 Original file: https://seetech.no/wp-content/uploads/2019/06/thermal.png 10:04 LTE X Х HW9 - Creative Questions.pdf 000 Original file: https://seetech.no/wp-content/uploads/2019/06/thermal.png 2. Using the headshots of the UA coaching football staff, create a composite image of 8 of the assistant coaches as if they were one person: https://rolltide.com/roster.aspx?roster=226 This reference is helpful: https://www.mathworks.com/help/images/ref/imfuse.html It is best to first create 4 composites of 2 coaches and then combine those (and combine again and again) (i.e. 8 -> 4 -> 2 -> 1) For each example, describe your solution methods in detail, using equations/illustrations/graphs as needed. Each response should take no more than two pages and should be submitted as a printed document. As always, the point of these exercises is to use Matlab code to arrive at an answer, not to solve the problem analytically. Don't forget to include a new question of your own for consideration on future HWs and class discussions. 1. Thermal imaging can identify energy “leaks” from buildings. Using the image below, calculate the percentage surface area of the house is not well-insulated: defined as being hotter than the average surface temperature of the house (i.e., the "average” color”). Assume that any pixels which are not black are part of the house. 11
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Explanation & Answer

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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...


Anonymous
I was struggling with this subject, and this helped me a ton!

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