Design Features Recognition Using Image Processing Techniques
Design features refer as manufacturing information sets of shape related attributes of a work part. Features recognition is the most relevant methods of image analysis. In this paper, an ideal method is developed to extract and recognize different shape features using digital image processing techniques. The geometric data extraction algorithm is developed with SOBEL, CANNY Edge detection algorithms for features extraction and MINBOUNDSUITE algorithm for features recognition. The methods involved are colored (RGB) image to black and white image (Binary) conversion, boundary and edge detection, area based filtering, use of bounding box and its properties for calculating object metrics. The algorithm was developed in MATLab package.