Problem Definition
Create a grayscale image of your face by converting your color image.
Flip your face image horizontally, i.e. left to right, right to left.
Come up with a third way of manipulating your face that produces an interesting output. For example, you may create a blurred image of your grayscale face by assigning to each pixel the average grayscale pixel value of itself and its 8 neighbors. Hint: You may have to run your program a few times to make the blurring noticeable.
Method and Implementation
To read,save images I have used openCV.
For grayscale, I have taken mean value of each pixel of images to create gray image.
To flip image horizontally, I have inverted the image and then mathematically substracted the fliped image from original.
For third problem, I have changed the background lights of images. For this I have used convertTo function.
Results
Following images were generated by using the above functions:
Results | ||
| Trial | Source Image | Result Image |
| Grayscale |  |
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| Horizontal Flipped | |
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| Custom (Removed green channel) | |
 |
Conclusions
As C++ allows images to be visualized as 3D array, it becomes easy to do mathematical manipulation in images.