Morphologically contour extraction of decisive objects from image

An image is the collection of some focused and non focused objects. Focused objects are treated as decisive objects of an image which helps a user in decision making. The objects in an image are the geometric shapes needed to be identified. Geometric shape of an image depends on the outer edges which are known as contour of that image. The proposed method extracts the contour of decisive objects from an image. Morphological operators empower the proposed method to achieve the goal. The proposal compared with several traditional edges detection techniques with respect to desired output and computation time to ensure its efficiency.

[1]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Aijun Chen,et al.  Circular object detection with mathematical morphology and geometric properties , 2010, 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering.

[3]  Qing Liu,et al.  Edge detection based on mathematical morphology theory , 2011, 2011 International Conference on Image Analysis and Signal Processing.

[4]  G. S. Roinson Edge Detection by Compass Gradient Masks , 1989 .

[5]  Joe-Air Jiang,et al.  Mathematical-morphology-based edge detectors for detection of thin edges in low-contrast regions , 2007 .

[6]  Xiaoping Li,et al.  Object Detection Based on Feature Extraction and Morphological Operations , 2005, 2005 International Conference on Neural Networks and Brain.

[7]  R A Kirsch,et al.  Computer determination of the constituent structure of biological images. , 1971, Computers and biomedical research, an international journal.

[8]  Shu Ning,et al.  Edge detection method of remote sensing images based on mathematical morphology of multi-structure elements , 2004 .

[9]  Jean Serra,et al.  Image Analysis and Mathematical Morphology , 1983 .

[10]  Frank Y. Shih Object representation and recognition using mathematical morphology model , 1991, J. Syst. Integr..