Reputation: 754

simple way to detect street area in google map images (aerial images)

im trying to detect the area of the street in image without any deep learning method.

say i have this image:

i am looking for any simple method to detect street portion of the image like the following:

now i know this might not be very accurate, and accuracy is not the problem at all , i am trying to achieve this without using any deep learning method.

Upvotes: 0

Answers (1)

Dr Yuan Shenghai

Reputation: 1915

Hough line can give direct straight line measure. but i don't thin it will give you exactly what you want. As shown below

You need a lot more complicated algorithms such as deep sematic segmentation model. and train based on that.

Even you don't like deep learning. traditional algo such as variational analysis, SVM learning or adaboost is also very complicated and you wont be able to use it easily. You need to have mucher deeper understanding on those topic.

if you really want you can start with variational analysis, active contour model, snake energy for extracting the road first. This variational analysis is proven to be working for a complex scenes and extract a particular model as shown in the image below. your road is the empty low gradient region and all building tree nearby are high gradient responses that you don't want.