A Deep Neural Network on Object Recognition Framework for Submerged Fish Images

被引：0
|
作者：
Pulidindi, Sushma [1 ]
Kamakshaiah, K. [2 ]
Yeruva, Sagar [2 ]
机构：
[1] VNR VJIET, Software Engn, Secunderabad, India
[2] VNR VJIET, Dept CSE, Secunderabad, India
来源：
ADVANCES IN DATA SCIENCE AND MANAGEMENT | 2020年 / 37卷
关键词：
Fish species identification; Autoencoder; Deep neural network; TRACKING;
D O I：
10.1007/978-981-15-0978-0_44
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Nowadays, recognition of objects such as fishes has drawn more attention while submerged pictures are showing some difficulty due to their poor picture quality which also includes rough background surfaces when compared to general images. Medicines prepared from fishes help in curing different diseases to reduce the health issues in the present world (for example, rheumatism problems, gel for wounds, bandages, etc). In our proposed method we are projecting a deep neural network that supports recognition of fishes to acquire their count, species and medical usage.
引用
收藏
页码：443 / 450
页数：8
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