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ISBN
| 9781003256106 | |
DDC
| 006.6 | |
Nhan đề
| Computer Vision and Image Analysis for Industry 4.0 / Nazmul Siddique; Mohammad Shamsul Arefin; Md Atiqur Rahman Ahad; M. Ali Akber Dewan | |
Lần xuất bản
| 1st edition | |
Thông tin xuất bản
| NewYork : Chapman and Hall, 2023 | |
Mô tả vật lý
| 213 p. | |
Tóm tắt
| Computer vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance. Working environments can be improved significantly if we integrate computer vision and image analysis techniques. The more advancement in innovation and research in computer vision and image processing, the greater the efficiency of machines as well as humans. Computer Vision and Image Analysis for Industry 4.0 focuses on the roles of computer vision and image analysis for 4.0 IR-related technologies. The text proposes a variety of techniques for disease detection and prediction, text recognition and signature verification, image captioning, flood level assessment, crops classifications and fabrication of smart eye-controlled wheelchairs. | |
Từ khóa tự do
| Image analysis | |
Từ khóa tự do
| Computer vision | |
Từ khóa tự do
| Image processing | |
Khoa
| Khoa Truyền thông sáng tạo | |
Tác giả(bs) CN
| Ahad, Md Atiqur Rahman | |
Tác giả(bs) CN
| Arefin, Mohammad Shamsul | |
Tác giả(bs) CN
| Siddique, Nazmul | |
Tác giả(bs) CN
| Dewan, M. Ali Akber | |
Địa chỉ
| 300Q12_Kho Mượn_1A(1): M005635 |
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| 008 | 240227s2023 nyu eng |
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| 009 | 1 0 |
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| 020 | |a9781003256106 |
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| 041 | |aeng |
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| 044 | |anyu |
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| 082 | |a006.6|bC7383|223 |
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| 245 | |aComputer Vision and Image Analysis for Industry 4.0 / |cNazmul Siddique; Mohammad Shamsul Arefin; Md Atiqur Rahman Ahad; M. Ali Akber Dewan |
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| 250 | |a1st edition |
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| 260 | |aNewYork : |bChapman and Hall, |c2023 |
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| 300 | |a213 p. |
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| 520 | |aComputer vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance. Working environments can be improved significantly if we integrate computer vision and image analysis techniques. The more advancement in innovation and research in computer vision and image processing, the greater the efficiency of machines as well as humans. Computer Vision and Image Analysis for Industry 4.0 focuses on the roles of computer vision and image analysis for 4.0 IR-related technologies. The text proposes a variety of techniques for disease detection and prediction, text recognition and signature verification, image captioning, flood level assessment, crops classifications and fabrication of smart eye-controlled wheelchairs. |
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| 653 | |aImage analysis |
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| 653 | |aComputer vision |
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| 653 | |aImage processing |
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| 690 | |aKhoa Truyền thông sáng tạo |
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| 691 | |aTruyền thông đa phương tiện |
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| 700 | |aAhad, Md Atiqur Rahman |
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| 700 | |aArefin, Mohammad Shamsul |
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| 700 | |aSiddique, Nazmul |
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| 700 | |aDewan, M. Ali Akber |
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| 852 | |a300|bQ12_Kho Mượn_1A|j(1): M005635 |
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| 856 | 1|uhttp://elib.ntt.edu.vn/documentdata01/2 tailieuthamkhao/000 tinhocthongtin/anhbiasach/49014_computervisionandimageanlysisforindustry4.0thumbimage.jpg |
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| 890 | |a1|b0|c1|d0 |
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