Abstract

Image processing has become one of the most unavoidable fields of engineering. The way the applications are designed based on Image processing is simply superb. This study is drafted as a study paper aimed at reviewing the object recognition techniques supported in Image Processing Sector. Analyzing object recognition through the applications is a new approach and that is what we have tried through our paper. We have taken effort to check the utilization of Object Recognition techniques in the fields of Industrial applications which includes a. automobiles b. food and beverage sector and c. fabric sector. Then attention is paid towards robotic applications. Remote sensing is also observed to be one of the hottest sectors which deploys objects recognition techniques to a better extent. Finally it is ended up with medicinal applications.

Keywords:

AdaBoost, appearance-based method , feature-based method, filters , fuzzy clustering, gaze determination , genetic algorithm, haar-like structure , head pose, histogram , hyperspectral, image stabilization, machine vision, model-based method , motion compensation, motion estimation,segmentation, SIFT (Scale-Invariant Feature Transform), spectral, spectroscopy, statistical, texture, thresholding,

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Competing interests

The authors have no competing interests.

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