Semyon's profile - activity

Hello. I have a lot of photos. Each photo contains many similar items. I need to find each shelves or space between shelves. An example on the photos. Shelves between blue lines and the necessary space between red lines. I tried methods that separate shelves color from other colors and try to recognize the shelf. But shelves have different colors and different shades of each color on different photos. Therefore, the specified color can not always be found. Or maybe I'm wrong to use such methods. Tell me, please, how to recognize shelves or space between shelves. The space between the shelves is more priority than the shelves.

Hello. I have a lot of photos. Each photo contains many similar items. An example on the photo. I need to find the boundaries of each such item. For now I'm searching rectangular boxes of goods. At first I find the logos on the photos, then for each logo I'm trying to find the boundary box which contain that logo. I'm using the Hough Trasform algorigthm for searching and selection lines. My code (using OpenCV) currently allocates about 20% of the boxes. Data (recognized boxes) is not a lot that does not allow normal to teach statistical algorithms (eg neural networks). Tell me, please, how to select the boxes, especially with regard to their similarity.