MIT Algorithm Revolutionizes Image Segmentation, Finds Edges 50,000x More Accurately

Courtesy of Jason Chang

Courtesy of Jason Chang

Our eyes have no difficulty differentiating the edges of objects we see: e.g. a car or people walking by from the surrounding street. But computers make lots of guesses before they can do so. Now, two MIT researchers (Jason Chang, a graduate student in the Department of Electrical Engineering and Computer Science, and John Fisher, a principal research scientist at MIT’s Computer Science and Artificial Intelligence Lab) have figured out how to make this recognition process at least 50,000 times more efficient.

Read the article at: MITnews.

Did they talk to the folks at Adobe? And here I thought that Adobe had practically accomplished this feat with their new Content-Aware Fill feature and easy complex selections in Photoshop CS5.