원문정보
초록
영어
The term content-based image retrieval to describe his experiments into automatic retrieval of images from a database by color and shape feature. The term has since been widely used to describe the process of retrieving desired images from a large collection on the basis of features that can be automatically extracted from the images themselves. The features used for retrieval can be either primitive or semantic, but the extraction process must be predominantly automatic. Retrieval of images by manually-assigned keywords is definitely not CBIR as the term is generally understood – even if the keywords describe image content. And this paper deals, retrieve the images into three basic categories of color called RGB. After retrieving the image with their component the transformation can be applied. The HOG method is used to retrieve the feature of image vectors and others. In this paper, the HOG method is fully analyzed and proves its accuracy and efficiency of image retrieval with reduced number of steps.
목차
1. INTRODUCTION
1.1. Architecture of CBIR System
2. LITERATURE REVIEW
3. METHODOLOGY
3.1. Discrete Wavelet Transformation (DWT)
3.2. Histogram Oriented Gradient (HOG)
4. EXPERIMENTALRESULTS
4.1. DWT based Image Retrieval
4.2. HOG by DWT Sub band based Image
4.3. Performance Evaluation
5. CONCLUSION
REFERENCES