Detecting Faces in Noisy Images using Hit-Miss Transform (HMT) | Zendy

Poornaiah Billa | Zendy; Anandbabu Gopatoti | Zendy; Kiran Kumar Gopathoti | Zendy; K.C Koteswaramma | Zendy

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Detecting Faces in Noisy Images using Hit-Miss Transform (HMT)

Author(s) -

Poornaiah Billa,

Anandbabu Gopatoti,

Kiran Kumar Gopathoti,

K.C Koteswaramma

Publication year - 2019

Publication title -

international journal of recent technology and engineering (ijrte)

Language(s) - English

Resource type - Journals

ISSN - 2277-3878

DOI - 10.35940/ijrte.d4613.118419

Subject(s) - artificial intelligence , computer vision , computer science , noise (video) , face (sociological concept) , transformation (genetics) , object (grammar) , pattern recognition (psychology) , gaussian noise , object detection , image (mathematics) , homogeneous , sample (material) , mathematics , social science , biochemistry , chemistry , chromatography , combinatorics , sociology , gene

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.

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