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Jacob Vetha Raj, Y.
- Multilevel Approach of CBIR Techniques for Vegetable Classification Using Hybrid Image Features
Abstract Views :223 |
PDF Views:5
Authors
Affiliations
1 Department of Computer Science, Nesamony Memorial Christian College, IN
2 Sadakathullah Appa College, IN
1 Department of Computer Science, Nesamony Memorial Christian College, IN
2 Sadakathullah Appa College, IN
Source
ICTACT Journal on Image and Video Processing, Vol 6, No 3 (2016), Pagination: 1174-1179Abstract
CBIR is a technique to retrieve images semantically relevant to query image from an image database. The challenge in CBIR is to develop a method that should increase the retrieval accuracy and reduce the retrieval time. In order to improve the retrieval accuracy and runtime, a multilevel CBIR approach is proposed in this paper. In the first level, the color attributes like mean and standard deviations are proposed to calculate on HSV color space to retrieve the images with minimum disparity distance from the database. In order to minimize search area, in the second level Local Ternary Pattern is proposed on images which were selected from the first level. Experimental results and comparisons demonstrate the superiority of the proposed approach.Keywords
Content Based Image Retrieval (CBIR), Gray Level Co-Occurrence Matrix (GLCM), Local Binary Patterns (LBP), Local Ternary Pattern (LTP).- Development of Hybrid Image by Fusion
Abstract Views :219 |
PDF Views:1
Authors
Affiliations
1 Sadakathullah Appa College, Tirunelveli, IN
2 Manonmaniam Sundaranar University, Tirunelveli, IN
1 Sadakathullah Appa College, Tirunelveli, IN
2 Manonmaniam Sundaranar University, Tirunelveli, IN
Source
Digital Image Processing, Vol 3, No 3 (2011), Pagination: 163-168Abstract
The focus of the image is normally at the center of the photograph. The images with objects with different distance have the problem of lacking focus on some of the objects. In order to overcome this problem, a simple and effective method is proposed. The proposed method may be incorporated in a digital camera to capture images with different focuses of the same image. Then these images can be fused together to get a hybrid image with the details of focused area of all the images of a frame. Initially the RGB color images with different focuses of the same image are captured and converted to gray images. These images are subjected to a filtering operation with an overlapping window of order 3x3. The filtering operation finds the maximum difference of the center pixel with the neighboring eight pixels. A sliding window of order n x n is selected in all the images, the sum of the magnitude values of the difference are computed. The block in the image with higher block sum is selected and is fused with hybrid image. This hybrid image will have more details compared to the ordinary high quality image with single focus. The hybrid image generated helps in inspection to extract more details.Keywords
Camera Automation, Edge Detection, Filtering, Image Fusion.- Hybrid Compression of Color Mosaic Images Using Histogram Based Segmentation
Abstract Views :184 |
PDF Views:3
Authors
Affiliations
1 Department of Computer Science, Sadakathullah Appa College, Tirunelveli, IN
2 Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli, IN
1 Department of Computer Science, Sadakathullah Appa College, Tirunelveli, IN
2 Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli, IN