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Annals of Computer Science and Information Systems, Volume 10

Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering

An Overview on Thermal Image Processing

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DOI: http://dx.doi.org/10.15439/2017R111

Citation: Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering, Vijender Kumar Solanki, Vijay Bhasker Semwal, Rubén González Crespo, Vishwanath Bijalwan (eds). ACSIS, Vol. 10, pages 117–120 ()

Full text

Abstract. 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.

References

  1. Sanjay Chaudhary, Bhavesh Prajapati, “Quality Analysis and Classification of Bananas” International Journal of Advanced Research in Computer Science and Software Engineering Volume 4, Issue 1, January 2014.
  2. Md. Wasim Siddiqui* and R.S Dhana “Eating artificially ripened fruits is harmful” General Article CURRENT SCIENCE.VOL.99, No. 12, 25 December 2010.
  3. Zhou Jianmin, Zhou Qixian, Liu Juanjuan, Xu Dongdong, “Design of on-line detection system for apple early bruise based on thermal properties analysis” International Conference on Intelligent Computation Technology and Automation 2010.
  4. Haoyang Cui, Yongpeng Xu, Jundong Zeng and Zhong Tang, “The Methods in Infrared Thermal Imaging Diagnosis Technology of Power Equipment” 2013 IEEE.
  5. Eduard Llobet, Evor L Hines, Julian W Gardner, and Stefano Franco, “Non-destructive banana ripeness determination using a neural network-based electronic nose” IOP publishing Ltd 26 March 1999.
  6. Jibu Varghese k, Tripty Singh, sreyas Mohan, “PCB Thermal Image Analysis using MATLAB” ISSN (Online): 2347 – 2812, Volume-2, Issue – 3, 2014.
  7. ASHISH, VIJAY, “Review on Thermal Image Processing Techniques for Machine Condition Monitoring” international Journal of Wireless Communications and Networking Technologies Volume 3, No.3, April-May 2014.
  8. Baohua Zhang, Wenqian Huang….etc. Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review. Food Research International 62(2014) 326-343.
  9. V. Srividhya, K. Sujhata and R.S. Ponmagal, “Ethylene Gas Measurement for Ripening of Fruits Using Image Processing” Indian Journal of Science and Technology, Vol 9(31), August 2016.
  10. Dayanand Savarkar “Identification and Classification of Bulk Fruits Images using Artificial Neural Networks” IJEIT Volume 1, Issue 3, March 2012.
  11. Semwal, Vijay Bhaskar, Kaushik Mondal, and G.C. Nandi. “Robust and accurate feature selection for humanoid push recovery and classification : deep learning approach.” Neural Computing and Applications (2015): 1-10.
  12. Semwal, V.B., Singha, J., Sharma, P.et al., “An optimized feature selection techniques based on incremental feature analysis for bio-metric gait data classification” Multimed Tools App (2016). http://dx.doi.org/10.1007/s 11042-016-4110-y
  13. Semwal, Vijay Bhaskar, Manish Raj, and Gora Chand Nandi. “Biometric gait identification based on a multilayer perceptron .” Robotics and Autonomous Systems 65 (2015): 65-75.