Robust Detection of Significant Points in Multiframe Images


A parameter approach was used to handle differently  distorted images. Points, which belong to two edges with an appropriate angle in between regardless  of its orientation are understood here as significant points. Information about the number of edges  passing through each pixel and about the angle between them is acquired from the number and distribution of local sign changes in the difference between the image function and its local mean values. Detection of  significant points in two different frames of the same scene: in the original (left) and in the image blurred by 9x9 averaging mask and rotated by pi/9. The significant points were detected by the Kitchen and Rosenfeld's method (top), the Harris' method (middle) and by our method (bottom).
 

Other examples of detected features:
 


 
 
 

Relevant publications: