Easiest way to blurr image

Image recognition

Image recognition is the process of identifying and detecting an object or a feature in a digital image or video. This concept is used in many applications like systems for factory automation, toll booth monitoring, and security surveillance. Typical image recognition algorithms.

Blurr an Image:

A blur is a shape or area which you cannot see clearly because it has no distinct outline or because it is moving very fast.  

When a thing blurs or when something blurs it, you cannot see it clearly because its edges are no longer distinct.  

Steps to blurr the image:

Step 1:

Import the image to the working directory

Step 2.

Read the image by using imread(); command

Step 3:

Initialize variable as much you want the blurr level of image e.g 13,50…

Step 4:

Initialize variable by using any name than assign fspecial function which will be like h = fspecial('gaussian',hsize,sigma) returns a rotationally symmetric Gaussian lowpass filter of size hsize with standard deviation sigma (positive).

Step 5.

Use blurred=imfilter(I,psf,'conv','circular');

filters the multidimensional array A with the multidimensional filter conv. The array  circular can be a nonsparse numeric array of any class and dimension. The result blurred has the same size and class as circular.

Step 6:

Use subplot function to load the image with the blurred effect

here is source code 

 Output