How to do feature extraction from an image?
2 views (last 30 days)
Hi I want to do feature extraction from an image. I read a paper and did this steps: I did image segmentation. Then I want to do feature extraction. In this paper:
Segmented lungs were divided into 3*3 windows in which all nine pixels were located in the lung mask. Window size selection is a compromise between higher resolution (in the classification process) and faster algorithm. Smaller windows (i.e. 1*1 or 2*2) have the problem of more time complexity for training and increaseing the number of FP. Larger windows (i.e. 5* 5 or larger) cause lower resolution of reconstructed image after classification and miss some tiny nodules. Thus, for better resolution and faster algorithm, simultaneously, we used a 3*3 window. In the training process, these windows were labeled as nodule (þ1) and non-nodule (1).
My question is this: Is there any standard criteria to lable the 3*3 window as a noudle? ( I mean if how many of these pixcles are 1, we should lable the window as a noudle?)</pre>