HPCIR: Histogram positional centroid for image retrieval
| Autor: | N Rajani, A Sreenivasa Murthy, T N Sadan Kumar |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Histogram matching Pattern recognition ComputingMethodologies_PATTERNRECOGNITION Feature (computer vision) Histogram Adaptive histogram equalization Computer vision Artificial intelligence business Image retrieval Image histogram Feature detection (computer vision) |
| Zdroj: | 2016 IEEE Industrial Electronics and Applications Conference (IEACon). |
| DOI: | 10.1109/ieacon.2016.8067388 |
| Popis: | Content Based Image Retrival has wide application in the field of communication via internet. There exists various methods for retriving an image from the vast set of data present in the desktop, laptop, workstations and internet. The proposed Histogram positional centroid for image retrival technique uses histogrm feature extraction and position centroid. The Histogram Positional Centroid for Image Retrieval uses three feature vectors, namely histogram feature, positional centroid of each bin feature and average colour of each bin feature, for retrieval of images. Further, in the proposed method adding location and average colour description of each bin in colour histogram are incorporated. This results in speedy computation in retriving the image from the huge data base. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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