This week, some interesting things happened. Firstly, our proposal got accepted and we can now move on to the next step of submitting an HSRB proposal. Both Taylor and Myself have taken a hour long online class on how to run a good study, and we are currently working together to finish questions for next year and get the proposal submitted by Tuesday.
The most interesting things however, was our discussion with another computer science professor at our college, that led us in a different direction in edge detection.
Dr. Ferrer is a professor at our college who has some experience with object detection in his own research. Using a robot that can take pictures, he has headed a project that analyses those images, and allows the robot to respond. As part of his research, he uses something called…
Blob Coloring and K-Means Clustering
Instead of detecting edges, blob detection finds regions of color, and defines them by certain aspects of themselves, namely, their size, how many pixels they have, their aspect ratio, etc. These regions of color, or blobs, are literally themselves with more information. Part of finding them however, is how many blobs you expect to be there to begin with.
Finding out how many blobs there are depends on how many distinct colors you expect to find in the image. Before you use blob detection, you first need to determine the distinct number of colors in the image, and then cluster these colors together. Both Dr. Ferrer, and our adviser suggested using k-means.
Instead of rewriting code for this by hand, Dr. Ferrer offered to let us use some of his code, and then re-implement it in respects to our programs functionality.
Using this blob detection, we should be able to find the fitness of certain aspects of our images. From there, we can work on getting our aesthetic measure done by the end of the semester.
I managed to hook up Taylor’s code to my code for exporting. Although she doesn’t have randomization, it is set up so she will be able to get it to do so and export automatically!
It was brought up that my program should be able to somewhat intelligently pick colors. Unfortunately, this is the progress towards that.
Work on HSRB progresses. Taylor is doing the dirty work of filling out forms, and I have been working on fliers. Below are a couple quick mockups.
I also edited the questions associated with the research project and wrote a debriefing for afterwards.
Our current goal is to have our aesthetic measure done by the end of the semester, and begin our evolution next semester.