An Overview on Thermal Image Processing

• Autorzy: Ansari Sheeba , Salankar Suresh

Identyfikatory

DOI

10.15439/2017R111

• Konferencja: The Second International Conference on Research in Intelligent and Computing in Engineering
• Języki publikacji: EN

Abstrakty

EN

Entire world is accentuated on inanition health certainty and food safety. Mostly, for fruit ripening the fruit seller uses calcium carbide and for human body the calcium carbide is exceptionally dangerous as it accommodates the phosphorous and arsenic traces. In many countries it is prohibited but in Pakistan, India, Nepal, and Bangladesh and in another country it is directly used. Quality assessment of banana fruit can be concluded by either human inspectors or instrumental tools. This paper presents a method of Thermal Imaging Technology for detection of banana fruit whether it is ripened by calcium carbide or naturally ripened. This paper also presents image preprocessing, image segmentation and feature extraction steps for processing of an image. For classifying these images the Neural Network is used.

Słowa kluczowe

EN

thermal image; banana fruit; neural network; feature extraction; segmentation

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2017
• Tom: Vol. 10
• Strony: 117--120
• Opis fizyczny: Bibliogr. 13 poz., rys.

Twórcy

autor

Ansari Sheeba

• Department of Electronics & Telecommunication & Engineering G H Raisoni College Of Engineering Nagpur, India

autor

Salankar Suresh

• Department of Electronics & Telecommunication & Engineering G H Raisoni College Of Engineering Nagpur, India

Bibliografia

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