Explain how the MPP algorithm behaves under the following conditions: b

i) 1-pixel wide, 1-pixel deep indentations.

ii) 1-pixel wide, 2-or- more pixel deep indentations.

iii) 1-pixel wide, 1-pixel longprotrusions.

iv) 1-pixel wide, n-pixel long protrusions.

The MPP (Maximum Probability Path) algorithm is typically used in image processing tasks where the goal is to identify and follow the most probable path through an image, based on a certain criterion such as intensity or other feature values. In the context of image processing, indentations and protrusions can affect how the algorithm processes and tracks these paths. Here’s how the MPP algorithm behaves under the given conditions:

i) 1-pixel wide, 1-pixel deep indentations:

For indentations of this type, the MPP algorithm is likely to follow the depth of the indentation, which is very shallow. Since it is only ___ ___ ________ ______ ____ ______ _____ ______.
_______ ___ ____ _________ ______ ________ _______.
__________ ________ _________ __________ ___ ____ ________.
_________ _____ _________ _______ ____ ______ _______ _______ ____ _________ ____ __________.
_________ ________ _________ ______ ___ __________ _______ ______ ______.
_______ ________ _______ ________ ______ _________ ________ _______.
______ __________ __________ ____ _____ ______.
______ ______ _______ __________ ______ ________ __________ ___.
_________ _____ ____ _____ __________ _________.
_________ ______ ___ ______ ____ _____ _______ ___ _____ __________.
________ _____ _______ ______ ______ _______ _____ ___.
_____ _________ ______ ______ _______ _____ _________ ____ ___ ________.
_______ ______ ______ _____ ________ _________ _______ ________.
______ ________ ______ _____ ___ ___ _____ _______.
_______ ___ ___ _________ ______ ____ _____ ______ ______ ____ _______.
________ ____ ____ ______ _________ ___.
________ _______ _______ ____ ___ __________ ___ ______ _____ ______ ________.
_____ _______ _________ __________ ____ ______.
____ ________ ________ _____ ______ ___ _________ _________ _______ ______.
____ ______ ___ ________ ______ ______ _____.
______ _____ ___ ________ ____ __________ _______.
_____ _________ ____ ______ ______ __________ _________ ________.
________ ______ ______ ________ ________.
______ ________ __________ ______ ____ _____ _________ ______ ____.
____ _________ ____ ____ _____ ___.
___ ___ _______ ____ _____ __________ ____.
_______ ___ ____ _________ ________.
_______ ____ ______ _______ ___ _______ _____ ___ ___.
______ ____ _________ ___ _____.
______ ________ _____ ____ ________ _______ __________ ______.
___ _____ ____ __________ __________ ________ _____ ___ _________.
______ ______ __________ _____ ________ _____ ____.
_____ ________ ________ ___ _______ __________.
___ ______ ______ _________ ____.
___ _______ ___ ____ ___ ___ _________ _______.
_______ _____ ___ _______ _______.
__________ __________ ________ _________ ____ ________ __________ _________ __________ ___.
________ _________ _______ _____ ____ ____ ______ ______ _________.
_________ ________ ________ __________ ________ _________ _____.
______ ______ __________ _______ _________ ____ _____ ______ ___ ________ _____ ____.
_____ _________ _________ ____ ___ _____.
____ _______ ________ ______ ______ _________.
________ _________ __________ __________ ___ ___ _______.
________ _______ ____ _________ ________ ____.
__________ _______ _______ _________ ___ _____ ____ ____ __________ __________ ______.
_________ _________ ____ ___ _____ _______ _______ ______.
__________ ____ __________ ____ _______ __________ ____ ___ ______ _____ _______.
_______ ________ _____ _____ _______.
____ _______ _______ _______ _________ ________ ____ _________ __________.
______ ___ ______ _______ ________ ______ _________ _______ ________.
____ ____ ______ _________ ________ __________ __________ ___ __________.
_____.
Get Full Answer on WhatsApp