Pattern Recognition through Dip for Wind Turbine
S. Bharathi1, K. Madhuleka2, V. J. Vijayalakshmi3, R. Uthirasamy4
1S. Bharathi*, Department of EEE, KPRIET College, Coimbatore, India.
2K. Madhuleka, Department of EEE, KPRIET College, Coimbatore, India.
3Prof. V. J. Vijayalakshmi, Department of EEE, KPRIET College, Coimbatore, India.
4Dr. R. Uthirasamy, Department of EEE, KPRIET College, Coimbatore, India.
Manuscript received on August 07, 2020. | Revised Manuscript received on August 15, 2020. | Manuscript published on August 30, 2020. | PP: 448-450 | Volume-9 Issue-6, August 2020. | Retrieval Number: F1538089620/2020©BEIESP | DOI: 10.35940/ijeat.F1538.089620
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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: This paper depicts the realization of DIP (Digital Image Processing) technique for pattern recognition to identify objects in video stream. The proposed model compares the test object with standard model and identifies the missing objects in the test item. The model uses image classifier algorithm as a tool. The simulations are carried out in MATLab Simulink and various test items are compared under different morphological conditions. The model is fabricated to analyze and indicate the omitted components in wind turbine.
Keywords: Digital Image Processing, Image Acquisition, segmentation, image classifier