richzhang.github.io

You can feed tensorflow neural net almost anything. If you have extra features for each pixel, then instead of using one channel (intensity) you would use multiple channels.

If you have extra features, which are about whole image, you can make separate input a merge features at some upper layer.

As for the better performance, you should try both approaches. General intuition is that, extra features help if you don't have many samples and their effect is diminishing if you have many samples and network can learn features by itself.

Also one more point: If you are novice, I strongly recommend using higher level framework like keras.io (which is layer over tensorflow) instead of tensorflow.