Vision Based Information Retrieval
Asif Khan, Jianping Li, Mohd Yusuf Khann
- 发表年份
- 2016
- 引用次数
- 2
摘要
Vision phenomena with natural strategy are an ideal approach and easy task for human being to see, feel and understand. But that unstructured random scene perception and understanding is a challenging problem in visual image and processing research area. Vision science plays an important role in education, health, military etc. Accordingly here a new model “FL-SHODHANI” has been proposed for the above analysis. This model proceeds with an improvement of pictorial information, storage image data, transmission and representation of images. Then they obtained attributes are considered as sense with the observation, based on task limit. Accordingly this research work also studied various real world application problems related to medical, robotics, agriculture and geo-navigation using the above proposed method. Issues concerning drifts and robustness are analyzed and discussed here with respect to the original framework Hopefully the contribution made by this research work will make a new vista in the filled of advanced technology for the betterment of our global society.
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