Detecting Faces in Noisy Images using Hit-Miss Transform (HMT)
Poornaiah Billa1, Anandbabu Gopatoti2, Kiran Kumar Gopathoti3, K.C Koteswaramma4
1Poornaiah Billa*, Department of Electronics and Instrumentation Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India.
2Anandbabu Gopatoti, Department of Electronics and Communication Engineering, MVR College of Engineering & Technology, Paritala,Andhra Pradesh, India.
3Kiran Kumar Gopathoti, Department of Electronics and Communication Engineering, Institute of Aeronautical Engineering, Hyderabad, 500043, Telangana, India.
4K.C Koteswaramma, Department of Electronics and Communication Engineering, Institute of Aeronautical Engineering, Hyderabad, 500043, Telangana, India.
Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 10335-10338 | Volume-8 Issue-4, November 2019. | Retrieval Number: D4613118419/2019©BEIESP | DOI: 10.35940/ijrte.D4613.118419
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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 object of this paper is to detect faces in noisy images. All sample images show homogeneous background faces. The transformation of the Hit-Miss is used to detect object boundaries and remove the noise effect. Two filters are cascaded to handle high noise levels in a special way. An application for face detection in noisy conditions is presented. The algorithm is implemented on faces taken from the Manchester face database after adding Gaussian noise to them.
Keywords: About Four Key Words or Phrases In Alphabetical Order, Separated By Commas.
Scope of the Article: Image Processing and Pattern Recognition.