Approaches for Automated Object Recognition and Extraction from Images —a Study
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| Title | Approaches for Automated Object Recognition and Extraction from Images —a Study |
| Authors | |
| Abstract | Digital Image Interpretation is one of the most challenging and important tasks in many scientific and engineering applications. The two vital subtasks in image interpretation are recognition and extraction of object(s) of interest (OOI) from an image. When such tasks are manually performed, it calls for human experts, making them more time consuming, less cost effective and highly constrained. These negative factors led to the development of a computer system which performed an automatic analysis of visual information in order to bring in consistency, efficiency and accuracy in image analysis. This paper focuses on the survey of various existing automated approaches for recognition and extraction of OOI from an image in various scientific and engineering applications. In this work a categorization of these approaches is made based on the four principle factors (Input, Object, Feature, Attention) with which each approach is driven. Most of the approaches discussed in this paper are proved to work efficiently in real environments. |
| Publisher | University of Zagreb, University Computing Centre - SRCE |
| Date | 2009-12-01 |
| Source | Journal of Computing and Information Technology Vol 17, No 4 (2009) |
| Rights | CIT. Journal of Computing and Information Technology is an open access journal.Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work´s authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal´s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). |