Mahotas - Speeded-Up Robust Features

In this article we will see how we can get the speeded up robust features of image in mahotas. In computer vision, speeded up robust features (SURF) is a patented local feature detector and descriptor. It can be used for tasks such as object recognition, image registration, classification, or 3D reconstruction. It is partly inspired by the scale-invariant feature transform (SIFT) descriptor. For this we are going to use the fluorescent microscopy image from a nuclear segmentation benchmark. We can get the image with the help of command given below
 

mahotas.demos.nuclear_image()

Below is the nuclear_image 
 

In order to do this we will use surf.surf method 
 

Syntax : surf.surf(img)
Argument : It takes image object as argument
Return : It returns numpy.ndarray 
 

Example 1 : 
 

Output : 
 

No of points: 217

Example 2 : 
 

Output : 
 

No of points: 364