Name
Title | ||
|---|---|---|
A Review of Gradient-Based and Edge-Based Feature Extraction Methods for Object Detection |
Abstract | ||
|---|---|---|
In computer vision research, object detection based on image processing is the task of identifying a designated object on a static image or a sequence of video frames. Projects based on such research works have been widely adopted to various industrial and social applications. The fields to which those applications applies includes but not limited to, security surveillance, intelligent transportation system, automated manufacturing, quality control and supply chain management. In this paper, we are going to review a few most popular computer vision methods based on image processing and pattern recognition. Those methods have been extensively studied in various research papers and their significance to computer vision research have been proven by subsequent research works. In general, we categorize those methods into to gradient-based and edge-based feature extraction methods, depending on the low level features they use. In this paper, the definitions for gradient and edge are extended. Because an image can also be considered as a grid of image patches, it is therefore reasonable to incorporate the concept of granules to gradient for a review. The definition for granules can be found in [1]. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CIT.2011.51 | CIT |
Keywords | Field | DocType |
gradient-based feature extraction methods,various research paper,image processing,pattern recognition,automated manufactoring,popular computer vision method,subsequent research work,image patch,feature extraction,edge detection,image sequences,object detection,video frame sequence,computer vision,computer vision research,static image,research work,edge-based feature extraction methods,image patches,face,face detection,quality control,supply chain management,image segmentation | Computer vision,Object detection,Feature detection (computer vision),Feature (computer vision),Computer science,Edge detection,Image processing,Image segmentation,Feature extraction,Artificial intelligence,Face detection | Conference |
ISBN | Citations | PageRank |
978-0-7695-4388-8 | 3 | 0.50 |
References | Authors | |
23 | 1 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wang Sheng | 1 | 8 | 5.80 |