Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/309700
Title: Improved Segmentation Techniques for Toxin Detection in Chili Pepper X ray images
Researcher: Rajalakshmi M
Guide(s): Subashini P
Keywords: Engineering and Technology
Computer Science
Computer Science Interdisciplinary Applications
University: Avinashilingam Deemed University For Women
Completed Date: 2020
Abstract: India is a largest producer and consumer of dry chili pepper. Chili pepper is directly applied to the food without any processing. Inappropriate cultivation, harvesting and storage system of chili pepper leads to decomposition and formation of fungus and it is the source for the aflatoxin. It severely injures the liver and also stimulates tumors in the lungs and kidney. It causes cancer or irritation in the eyes, skin or respiratory system. X-ray method is considered as the simplest and easiest non-destructive methods of detection of toxin in the chili peppers. The research begins its process by capturing X-ray images of Chili pepper, thereafter pre-processing the X-ray image for noise reduction, segmentation includes sub-process of texture region extraction, texture extraction, binarization and morphological operations and the final process is the classification of contaminated or uncontaminated Chili pepper.The objectives of the research are to eliminate the noise from chili pepper X-ray images by using filtering techniques; to evaluate the effect of optimized noise reduction techniques for segmentation process; to extract textures from chili pepper X-ray images by adopting Gabor filter and Texture filters; to enhance texture segmentation of chili pepper X-ray images by employing modifications in the Range filter; to execute binarization process on the segmented chili pepper X-ray images by applying Modified 2D Otsu and Modified Cellular Particle Swarm Optimization; and to detect and remove toxin contaminated chili pepper using Support Vector Machine. newlineMajor objectives : newlineThe research objectives are: newlinei) To eliminate the noise from chili pepper X-ray images by using filtering techniques, newlineii) To evaluate the effect of optimized noise reduction techniques for segmentation process. newlineiii) To extract textures from chili pepper X-ray images by adopting Texture filters, newlineiv) To execute binarization process on the segmented chili pepper X-ray images newlinev) To classify the Chili pepper as contaminated or uncontaminated using Cla
Pagination: 208 p.
URI: http://hdl.handle.net/10603/309700
Appears in Departments:Department of Computer Science

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01_title.pdfAttached File472.9 kBAdobe PDFView/Open
02_certificate.pdf473.96 kBAdobe PDFView/Open
03_acknowledgement.pdf487.46 kBAdobe PDFView/Open
04_contents.pdf491.41 kBAdobe PDFView/Open
05_list of tables,figures and abbreviations.pdf510.77 kBAdobe PDFView/Open
06_chapter 1.pdf8.96 MBAdobe PDFView/Open
07_chapter 2.pdf9.04 MBAdobe PDFView/Open
08_chapter 3.pdf8.62 MBAdobe PDFView/Open
09-chapter 4.pdf9.49 MBAdobe PDFView/Open
10_chapter 5.pdf9.56 MBAdobe PDFView/Open
11_chapter 6.pdf10.31 MBAdobe PDFView/Open
12-chapter 7.pdf8.44 MBAdobe PDFView/Open
13_references.pdf172.11 kBAdobe PDFView/Open
80_recommendation.pdf157.87 kBAdobe PDFView/Open


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