Explain how the MPP algorithm behaves under the following conditions: 
 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 (Modified Probabilistic Hough Transform for Recognition of Arbitrary Shapes) algorithm is commonly used in pattern recognition and image processing tasks to detect and recognize shapes within an image. Here's how it behaves under the given conditions:

i) 1-pixel wide, 1-pixel deep indentations:
   - In this scenario, where the indentations are only one pixel wide and deep, the MPP algorithm may struggle to accurately detect the edges of the indentation due to the limited amount of data available. 
   - The algorithm may produce noisy results or fail to __________ ______ ________ _________ _______ _______ ______ _______ ________ ___ _______.
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