Feature Extraction on Images through a Mathematical Morphological Operation Using Watershed

Image processing plays a major role in various applications. These images may be affected from noises that lead to disorder in embedding the messages. Inorder to overcome this problem various preprocessing techniques are involved. The main objective of this paper is to segment the image through watershed segmentation of image and can embed the secret messages. Extraction of segmentation is also done by adding the more morphological operations such as erosion, dilation, eroding, smoothing with an existing detectors such as sobel operators. This paper involves in evaluating the quality of an image with various techniques such as PSNR (Peak-Signal-to-Noise Ratio). Experimental results show that our proposed technique achieve good visual quality image with excellent PSNR values. This value provides high level security and more robust when compared to other combination of transformation technique.