Determine the binary output for the image if the threshold is given by

i) 3

ii)

In image processing and pattern recognition, thresholding is a fundamental technique used to convert a grayscale or color image into a binary image. The process involves setting a threshold value, and then assigning all pixel values above the threshold to one class (usually white or foreground) and all values below the threshold to another class (usually black or background). In the context of this question, we will determine the binary output for two different images, \( f \), using different threshold values.

### Image \( f \): 
\[ f = \begin{bmatrix} 1 & 2\\ _________ _________ _______ ____ _________ _________ ______.
____ ______ _______ _______ _________.
_____ ___ _________ _______ _________ ________ _________.
_________ __________ __________ ________ ___ _____ _____ _______ _________.
___ _____ _________ _____ ___ ____ ________ ______.
____ __________ ________ _____ _____ ________ ______ _______ ________ _________.
________ ___ ______ _____ ______ __________ ______ _______ _____ ___.
_______ ________ ____ ______ __________ _________ _________ _____ _____ _________ __________.
_______ ____ __________ _________ ___.
______ ________ ____ _______ __________ ____ _________ _____ _______.
_______ ___ ______ ______ ___.
_______ __________ ________ ______ ______ __________ _______ ____ __________ ____.
____ _____ __________ ____ __________ ____ _______ ______ _________ __________.
_____ _____ ____ ______ _______ ______.
_________ ___ ___ _____ ___.
___ ______ ___ _____ ____ ____.
_____ __________ _______ ___ ________ ______ ______ ______ ______ __________ _____ ________.
_______ ____ ______ ________ _______.
____ ________ __________ _______ ____ ________ ____ _____ _________ ______.
_________ _____ ________ _______ ____ ____.
______ __________ __________ __________ ___ _______ ____ _____ _________ ____ __________ ______.
______ _______ _____ _______ ____ ____ ____ ___ ________ _______ ___.
____ ______ ____ ______ ______ __________.
________ ___ ___ _______ _________ ________ __________ _____ ________.
_________ ___ ____ _________ _____ _______ __________ ____ _____ ______.
_________ ________ _______ ____ _________ _________ ___ ___ __________ _________ __________ __________.
___ __________ ______ _______ ______ _____ ________ ________.
________ _____ __________ ______ ________ _______ ________ _____ _______ _____ ____.
_____ ________ ___ _____ ___ ______ ____ ________ _________ ___.
_______ ___ _____ ________ _________ _____ _______ ______ _______ _________ ______ ____.
__________ _____ ________ __________ ______.
_______ ________ __________ __________ _______ __________ ________ _______.
________ ______ _________ _____ ________ _________ _________.
____ _______ ____ __________ _____ ______ ___ ______ ________ ____.
____ _______ _________ _________ ____ ______ ________ ____ ______ _____ _____.
__________ ________ __________ _____ _________ __________ ____ ___.
___ _____ _______ ____ _____ ________ _____ ____.
____ _____ _________ __________ _____ ______ ___ __________ __________.
_____ _________ ________ _____ _______ ____ ______ ____.
________ _________ ___ _________ ______ ___ ______.
_________ _________ _________ __________ ________ _____ _________ ________.
______ __________ ______ __________ _________.
_______ ________ __________ _____ ______.
_____ _______ ___ _____ ______ __________ ________ ________ ___.
_________ ____ _________ ___ _________ __________ ________ ______ _________.
__________ ____ _______ ___ ______ ____.
Get Full Answer on WhatsApp