Detection and Morphological Operation Using Filtering Techniques Using Laplacian Algorithm

An image is made up of grid of pixels. It has a distinct height and width counted in terms of pixels. In this image Processing is a technique in which images are given a new shape. In this research work remote sensing images have been used to extract key point features in an image. For which image is converted into grey scale image. Noise is the disturbance that occurs in an image. Due to noise image novelty has been disturbed. In order to overcome this problem Salt and pepper noise is added with that Filters are used to remove all unwanted disturbance present in the image. In this work Wiener Filter is used to remove the blare from the image. In grey scale image the connected pixels that lay on the boundary between the regions. To detect the boundary in gray scale image edge detection is the best way to process the image which has been implemented to perform the action in the image. Based on Morphological operation each edge is detected from the image which has ultimately leads to segmentation. Using Image segmentation one can segment the necessary region needed for output. Dilation and Erosion has been used to perform the basic image operations on shape. Now based on Laplacian of Gaussian (LoG) algorithm the interested feature has been extracted.