Author(s): Chirag I Patel | Ripal Patel | Ankit Thakkar
Journal: International Journal of Computer Science Research and Application
ISSN 2012-9564
Volume: 02;
Issue: 02;
Start page: 02;
Date: 2012;
VIEW PDF
DOWNLOAD PDF 
Original page
Keywords: Object detection | Image Segmentation | Gabor filter | Gaussian filter
ABSTRACT
Object detection and segmentation are critical task for many computer vision applications; they provide classification of the pixels into either foreground or background. In this paper, a new algorithm of objects detection and segmentation is proposed. Traditional approaches to object detection only look at local pieces of the image, whether it will be within a sliding window or the regions around an interest point detector. However, such local pieces can be ambiguous, especially when the object of interest is small, or imaging conditions are otherwise unfavorable. This ambiguity can be reduced by using global features of the image.
Journal: International Journal of Computer Science Research and Application
ISSN 2012-9564
Volume: 02;
Issue: 02;
Start page: 02;
Date: 2012;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: Object detection | Image Segmentation | Gabor filter | Gaussian filter
ABSTRACT
Object detection and segmentation are critical task for many computer vision applications; they provide classification of the pixels into either foreground or background. In this paper, a new algorithm of objects detection and segmentation is proposed. Traditional approaches to object detection only look at local pieces of the image, whether it will be within a sliding window or the regions around an interest point detector. However, such local pieces can be ambiguous, especially when the object of interest is small, or imaging conditions are otherwise unfavorable. This ambiguity can be reduced by using global features of the image.
