A Study on Object Classification Approaches
نویسنده
چکیده
AbstractThe main significance of image processing is to identify the object present in the captured image. The recognition of real time object and its classification is always a challenge. Medical Image processing, Biometrics, Agricultural image processing etc are the areas that involves object recognition as core approach. In this paper, we study is presented to different classification algorithms. These algorithms include supervised as well as unsupervised learning approaches. The paper also includes the exploration of standard classification model adapted by real time object recognition.
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تاریخ انتشار 2015