Feature Based Image Mosaic Using Steerable Filters and Harris Corner Detector | Zendy

Mahesh | Zendy; M. V. Subramanyam | Zendy

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Feature Based Image Mosaic Using Steerable Filters and Harris Corner Detector

Author(s) -

Mahesh,

M. V. Subramanyam

Publication year - 2013

Publication title -

international journal of image graphics and signal processing

Language(s) - English

Resource type - Journals

eISSN - 2074-9082

pISSN - 2074-9074

DOI - 10.5815/ijigsp.2013.06.02

Subject(s) - ransac , image stitching , corner detection , artificial intelligence , computer vision , feature (linguistics) , computer science , feature detection (computer vision) , image (mathematics) , transformation matrix , aerial image , point (geometry) , matching (statistics) , transformation (genetics) , feature extraction , detector , pattern recognition (psychology) , mathematics , image processing , telecommunications , philosophy , linguistics , physics , geometry , statistics , kinematics , biochemistry , classical mechanics , chemistry , gene

Image mosaic is to be combine several views of a scene in to single wide angle view. This paper proposes the feature based image mosaic approach. The mosaic image system includes feature point detection, feature point descriptor extraction and matching. A RANSAC algorithm is applied to eliminate number of mismatches and obtain transformation matrix between the images. The input image is transformed with the correct mapping model for image stitching and same is estimated. In this paper, feature points are detected using steerable filters and Harris, and compared with traditional Harris, KLT, and FAST corner detectors

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