Improving invisible food texture detection by using adaptive extremal region detector in food recognition
The advancement of mobile technology with reasonable cost has indulge the mobile phone users to photograph foods and shared in social media. Since that, food recognition has become emerging research area in image processing and machine learning. Food recognition provides an automatic identificat...
| Main Authors: | Razali, Mohd Norhisham, Manshor, Noridayu, Mustapha, Norwati, Yaakob, Razali, Zainudin, Muhammad Noorazlan Shah |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
World Academy of Research in Science and Engineering
2019
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/80199/ http://psasir.upm.edu.my/id/eprint/80199/1/Improving%20invisible%20food%20texture%20detection%20by%20using%20adaptive%20extremal%20region%20detector%20in%20food%20recognition.pdf |
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