Classification of Images into Clusters by Its Properties (CICP)
Nithyananda C R1, Ramachandra A C2, Prashanth C R3
1Nithyananda C R, Department of Computer Science and Engineering, East Point College of Engineering and Technology, Bangalore (Karnataka). India.
2Ramachandra A C, Department of Electronics and Communication Engineering, Alpha College of Engineering, Bangalore (Karnataka). India.
3Prashanth C R, Department of Telecommunications Engineering, Dr. Ambedkar Institute of Technology, Bangalore (Karnataka). India.
Manuscript received on June 02, 2016. | Revised Manuscript received on June 16, 2016. | Manuscript published on June 20, 2016. | PP: 01-04 | Volume-4 Issue-2, June 2016. | Retrieval Number: D0708114416/2016©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Quality of the given image is identified by its Features and properties. In this paper Image Classification of Images into Clusters by its Properties (CICP) we analyze the different Features and Properties of various types of images. The images are of good visible, moderate visible and blur for visibility. The basic properties such as Entropy, Contrast, Skewness, Brightness, Kurtosis, Visibility and Spatial Frequencies are calculated for the given images. These property values are extracted for Weibull, Contrast, Intensity and Fractal images. Image Classification is made based on the properties which are unique for particular type of images.
Keywords: Brightness, Moments, Standard Deviation, Spatial Frequency, Visibility.