BASIC GEOMETRIC SHAPE AND PRIMARY COLOUR DETECTION USING IMAGE PROCESSING ON MATLAB

Shambhavi Vijay Chhaya, Sachin Khera, Pradeep Kumar S

Abstract: This paper gives an approach to identify basic geometric shapes and primary RGB colors in a 2 dimensional image using image processing techniques with the help of MATLAB. The basic shapes included are square, circle, triangle and rectangle. The algorithm involves conversion of RGB image to grey scale image and then to black and white image. This is achieved by thresholding concept, The area of the minimum bounding rectangle is calculated irrespective of the angle of rotation of the object and ratio of this area to area of the object is calculated and compared to the predefined ratio to determine the shape of the given object. The dominant color pixels present helps to determine the color of the object. The practical aspects of this include reducing the manual labour in industries used to segregate the products and providing real time vision to the robots

Keywords: MATLAB, RGB Image, Bounding Rectangle, Shape and Color Detection

DOI: https://doi.org/10.15623/ijret.2015.0405094