I had my first class in Image Processing last November 17, 2020, with the hopes of learning a lot about how to understand how images work, and how they are transformed to drive out essential business value to the customer.
We discussed a lot of terms and references during the first meeting and I'm here to share with you some of the things that I have learned in class:
Image Analysis Enables the following:
Visualization - A person is able to see referenced objects through the image at hand
Enhancement - A person can improve certain elements of an image by using mathematical transformations on the image
Extraction - A person is able to draw out useful information based on the analysis done on an image
Recognition - A person will be able to identify similar objects that he or she has already seen previously since the patterns or objects on the image resemble past exposure from previous images
In order to digitize analog images, they need to be quantized and sampled
Sampling - Taking the value of an image at regular intervals
Quantization - Mapping out a large set of data into a smaller output set, usually the image's intensity values.
Image scale conversion - Can be done by thresholding an image based on its intensity values
Color Spaces - colored images are represented in RGB Space