Introduction to Morphological Image Processing Using Matlab:

Morphological image processing is an important tool in the digital image processing, it is based on geometry it emphases the structure of image and we can also find the relationship between the image when processing image with morphological theory. An image is analyzed in terms of some pre determined geographical shape known as structuring element.

This process is capable of removing noise and clutter as well as ability to edit image based on size and shape of the object this image processing is used in place of linear image processing.

In this morphological processing the information of the image is not lost. And in this process the original image can be reconstructed by using Dilation, Erosion, opening and closing for  finite number of times.

Using java language the major objectives of this paper can be reconstructed.

The morphological image process is implemented and successfully tested in FORENSICS.

It is generally based on two valued image in terms of certain predetermined geometric shape known as structuring image the term morphology is refers to the branch of biology and deals with the animals and plants.

Forensics fingerprint enhancement and reduction of noise in finger print image.

Digital image processing it involves the manipulation and interpretation of the digital image

The digital image processing used to solve the number of variety problems it will solve the unrelated problems also.

Image database an image refers to a 2D light intensity function the images are of 3 forms

First one is binary image, gray tone image and color image

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