Harumanis mango quality assessments technique based on high level features fusion of infra-red thermal and optical image
Mangoes imported from other parts of the world, especially Malaysia, Thailand, Mexico and the Philippines, are usually available all year round but in Perlis, Malaysia there is one unique and famous mango is Harumanis mango and this fruit is seasonal. Every year, a large amount of mangoes are produ...
Saved in:
| Format: | Thesis |
|---|---|
| Language: | English |
| Subjects: | |
| Online Access: | http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72933/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72933/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72933/4/Fathinul%20Syahir.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my-unimap-72933 |
|---|---|
| record_format |
uketd_dc |
| spelling |
my-unimap-729332021-12-17T02:44:30Z Harumanis mango quality assessments technique based on high level features fusion of infra-red thermal and optical image Ali Yeon, Md. Shakaff, Prof. Dr. Mangoes imported from other parts of the world, especially Malaysia, Thailand, Mexico and the Philippines, are usually available all year round but in Perlis, Malaysia there is one unique and famous mango is Harumanis mango and this fruit is seasonal. Every year, a large amount of mangoes are produced and need to be evaluated for quality assessments. Presently, the quality inspection was done manually by the quality expert as there are no automated grading system is available. Hence, by automating the procedure as well as developing new classification technique, it may solve these problems. This thesis presents the new method on the high level features fusion of visible and IR Thermal Image features for mango quality assessment. A shape and weight analysis was developed from visible imaging and a maturity analysis was developed from IR thermal imaging. A Fourier-Descriptor method was developed to grade mango by its shape and a cylinder analysis method was used to grade Harumanis mango by its weight and it give different accuracy result of classification. The spectrum of infrared image was used to distinguish and classify the level of maturity of the fruits and it gave low accuracy compare to shape and weight classification. To get high accuracy for quality assessment for Harumanis mango, high level data fusion was proposed. This method combined all three classifier of shape, weight and maturity and it was found to be able to achieve 98% accuracy classification. Universiti Malaysia Perlis (UniMAP) Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72933 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72933/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72933/1/Page%201-24.pdf be7e8b4b1abdb867aac12a439bfdbbd5 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72933/2/Full%20text.pdf 7192bb8588d6be59b946190c4dfd3d73 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72933/4/Fathinul%20Syahir.pdf 7296732752ac32ef70f690a77e0a71c8 Universiti Malaysia Perlis (UniMAP) Harumanis mango Optical communication Harumanis Harumanis -- Quality inspection Machine Vision School of Mechatronic Engineering |
| institution |
Universiti Malaysia Perlis |
| collection |
UniMAP Institutional Repository |
| language |
English |
| advisor |
Ali Yeon, Md. Shakaff, Prof. Dr. |
| topic |
Harumanis mango Optical communication Harumanis Harumanis -- Quality inspection Machine Vision |
| spellingShingle |
Harumanis mango Optical communication Harumanis Harumanis -- Quality inspection Machine Vision Harumanis mango quality assessments technique based on high level features fusion of infra-red thermal and optical image |
| description |
Mangoes imported from other parts of the world, especially Malaysia, Thailand, Mexico and the Philippines, are usually available all year round but in Perlis, Malaysia there is one unique and famous mango is Harumanis mango and this fruit is seasonal. Every
year, a large amount of mangoes are produced and need to be evaluated for quality assessments. Presently, the quality inspection was done manually by the quality expert as there are no automated grading system is available. Hence, by automating the procedure as well as developing new classification technique, it may solve these problems. This thesis presents the new method on the high level features fusion of visible and IR Thermal Image features for mango quality assessment. A shape and
weight analysis was developed from visible imaging and a maturity analysis was developed from IR thermal imaging. A Fourier-Descriptor method was developed to grade mango by its shape and a cylinder analysis method was used to grade Harumanis
mango by its weight and it give different accuracy result of classification. The spectrum of infrared image was used to distinguish and classify the level of maturity of the fruits and it gave low accuracy compare to shape and weight classification. To get high
accuracy for quality assessment for Harumanis mango, high level data fusion was proposed. This method combined all three classifier of shape, weight and maturity and it was found to be able to achieve 98% accuracy classification. |
| format |
Thesis |
| title |
Harumanis mango quality assessments technique based on high level features fusion of infra-red thermal and optical image |
| title_short |
Harumanis mango quality assessments technique based on high level features fusion of infra-red thermal and optical image |
| title_full |
Harumanis mango quality assessments technique based on high level features fusion of infra-red thermal and optical image |
| title_fullStr |
Harumanis mango quality assessments technique based on high level features fusion of infra-red thermal and optical image |
| title_full_unstemmed |
Harumanis mango quality assessments technique based on high level features fusion of infra-red thermal and optical image |
| title_sort |
harumanis mango quality assessments technique based on high level features fusion of infra-red thermal and optical image |
| granting_institution |
Universiti Malaysia Perlis (UniMAP) |
| granting_department |
School of Mechatronic Engineering |
| url |
http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72933/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72933/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72933/4/Fathinul%20Syahir.pdf |
| _version_ |
1747836878919303168 |