What is morphological operations in image processing

Morphological Operations is a broad set of image processing operations that process digital images based on their shapes. In a morphological operation, each image pixel is corresponding to the value of other pixel in its neighborhood.

1. What are the applications of morphological image processing?
2. Why do we use morphological operators on medical imaging?
3. What is erosion operation in image morphology?
4. What is the meaning of morphological transformation?

What are the applications of morphological image processing?

Applications of Morphology

Dilation adds pixels to boundary of an object. Dilation makes objects more visible and fills in small holes in the object. Erosion removes pixels from the boundary of an object. Erosion removes islands and small objects so that only substantive objects remain.

Why do we use morphological operators on medical imaging?

The idea of image enhancement techniques is to improve the quality of an image. In this study, morphological transform operation is carried out on medical images to enhance the contrast and quality. A disk shaped mask is used in Top-Hat and Bottom-Hat transform and this mask plays a vital role in the operation.

What is erosion operation in image morphology?

Erosion (usually represented by ⊖) is one of two fundamental operations (the other being dilation) in morphological image processing from which all other morphological operations are based. It was originally defined for binary images, later being extended to grayscale images, and subsequently to complete lattices.

What is the meaning of morphological transformation?

Morphological Transformations are simple operations based on the shape of an image usually performed on a binary image. It takes our input image and a structuring element(kernel) which decides the nature of the operation. In this article, we will discuss the two basic morphological filters erosion & dilation.