A basic morphological technique called the Hit-or-Miss transformation is used to identify particular forms or patterns in binary images. It is a fundamental tool in morphological image analysis and is especially helpful for shape detection.
In a binary image, the Hit-or-Miss transformation is used to locate instances of a particular pixel arrangement. Two structural components are used in it: one for the backdrop and one for the foreground (object).
Algorithm
Erode the binary image AAA with the foreground structuring element B1B_1B1.
Erode the complement of the binary image AAA with the background structuring element B2B_2B2.
Intersect the two eroded images to produce the final result.
Applications
Pattern Recognition: Detect specific shapes or configurations in an image.
Skeletonization: Identify the medial axis of shapes.
Shape Analysis: Analyze the presence or absence of specific shapes within a binary image.
The Hit-or-Miss transformation is a powerful tool for analyzing and processing binary images, enabling the detection of specific patterns or structures within an image.
