An Analysis of Different Area from Shadow Mask Using Morphological Operations

Abstract

When we recognize the shape of an object from an image to store in a computer, we use the pattern matching. The typical pattern matching technique is detection of a similarity of the shape of images. But, these techniques can not analyze a difference in the shape. This paper show the features of the shape by using numerical values, and take notice of morphology. The features of the shape by morphology is technique to describe pattern spectrum. This technique is more conscious to the shape of the image than other pattern matching technique, when extracting a different area from the texture image. At first, we express the features of the shape by pattern spectrum to use binary morphology. This pattern spectrum value has disposition that depends on the resolution, the shape of structuring element, and turning of an image. Next, we extend a gray scale image, and we consider its pattern spectrum to discriminate different areas of a shadow mask image. Analyzing different areas from a shadow mask we can detect a defective part of a repeating pattern on a grey scal image.