Edge Detection With Bilateral Filtering For Fruit Grading Using Spiral Architecture
The purpose of this project is to facilitate the user to extract damage part of fruit from given input image. To
facilitate the user to get the segmented damage part of fruit of input image in very less time. The user needs to only input
image of different fruits. Bilateral filtering is a nonlinear filter that considers intensity variation as well as spatial closeness in
the noise smoothing process. Spiral architecture is a relatively new concept in the area of image representation and also
offers distinct advantages. The approach to edge detection is multi-scale for fruit grading system using bilateral filter.