Machine vision

Bài giảng Xử lý ảnh trong cơ điện tử (Machine Vision) cung cấp kiến thức nền tảng và chuyên sâu về thị giác máy trong lĩnh vực cơ điện tử. Nội dung bài giảng bao gồm các chương từ giới thiệu về thị giác máy, cơ sở hình ảnh kỹ thuật số, biến đổi cường độ và lọc không gian, đến các kỹ thuật xử lý hình ảnh màu, hình thái, phân đoạn, nhận dạng đối tượng, xử lý video và hiệu chuẩn máy ảnh kết hợp tái tạo 3D. Tài liệu giúp sinh viên và kỹ sư cơ điện tử ứng dụng hiệu quả công nghệ xử lý ảnh trong thực tiễn công nghiệp.

647p hoatrongguong02 15-05-2025 1 1   Download

Lesson "Machine Vision" Chapter 1 - Introduction to machine vision, compiled including the following main contents: Introduction; Basic elements of machine vision system; Classification; Technical specifications; Designing a Machine Vision System.

168p phongtrongkim0906 16-05-2025 1 1   Download

Lesson "Machine Vision" Chapter 2 - Digital Image Fundamentals, compiled including the following main contents: Image Sensing and Acquisition; Image Sampling and Quantization; Some Basic Relationships Between Pixels; Basic Mathematical Tools Used in Digital Image Processing.

56p phongtrongkim0906 16-05-2025 1 1   Download

"Machine Vision – Chapter 3: Intensity Transformations and Spatial Filtering" explores essential techniques in image preprocessing, including contrast enhancement, histogram equalization, and filtering methods such as smoothing and sharpening. These operations are fundamental for improving image quality and extracting meaningful features in machine vision applications.

70p phongtrongkim0906 16-05-2025 1 1   Download

Lesson "Machine Vision" Chapter 4 - Color Image Processing, compiled including the following main contents: Color Fundamentals; Color Models; Basics of Full-Color Image Processing; Color Transformations; Color Image Smoothing and Sharpening.

37p phongtrongkim0906 16-05-2025 1 1   Download

Lesson "Machine Vision" Chapter 5 - Morphological Image Processing, compiled including the following main contents: Preliminaries; Erosion and Dilation; Opening and Closing; Some Basic Morphological Algorithms.

33p phongtrongkim0906 16-05-2025 1 1   Download

Lesson "Machine Vision" Chapter 6 - Image Segmentation, compiled including the following main contents: Fundamentals; Point, Line, and Edge Detection; Thresholding; Image Segmentation Using Deep Learning.

83p phongtrongkim0906 16-05-2025 1 1   Download

Lesson "Machine Vision" Chapter 7 - Object Recognition, compiled including the following main contents: Introduction; Pattern Matching; Feature-based Methods; Artificial Neural Networks.

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Lesson "Machine Vision" Chapter 8 - Video Processing, compiled including the following main contents: Introduction; Acquisition; Post-acquisition Processing; Image Registration; Spatio-Temporal Processing; Enhancement and Restoration; Action detection / recognition; Video Processing with OpenCV.

49p phongtrongkim0906 16-05-2025 1 1   Download

Lesson "Machine Vision" Chapter 9 - Camera Calibration and 3D Reconstruction, compiled including the following main contents: Camera calibration; Robot Camera Calibration; Pose estimation; Stereo vision.

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Efficient ship detection is essential for inland waterway management. Recent advances in artificial intelligence have prompted research in this field. This study introduces a real-time ship detection model utilizing computer vision and the YOLO object detection framework.

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This paper presents the development of an Artificial Intelligence (AI) and Machine Learning (ML) model designed to detect cracks on concrete surfaces. The objective is to enhance the automation, precision, and performance of crack detection using the computer vision algorithm.

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Machine learning and computer vision play pivotal roles in detecting product defects across various industries, enhancing effectiveness, precision, and minimizing labor expenditures. This journalutilizes image manipulation through the OpenCV, coupled with machine learning employing the ResNet-50 model, to specifically identify surface defects and dimensions in bearings.

5p vibenya 31-12-2024 8 1   Download

Các phương pháp kiểm tra không tiếp xúc kiểu quang học • Có 3 loại: – 1. Machine vision – 2. Thiết bị quét chùm tia laser (Scanning laser beam devices) – 3. Photogrammetry – Cả 3 đều dùng cảm biến quang học hay vật liệu cảm quang. Những hệ thống cảm biến quang học đơn giản dùng photocells, photodiodes, photographic paper.

29p online_12 08-11-2013 81 7   Download

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Design Considerations for Scalable High-Performance Vision Systems Embedded in Industrial Print Inspection Machines

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ĐỀ VÀ ĐÁP ÁN KỲ THI THỬ ĐH NĂM 2011 MÔN: TIẾNG ANH – ĐẾ 13 Phần 1. 1. A. begin B. behind C. technology D. language 2. A. China B. machine C. chewing-gum D. change 3. A. thought B. path C. through D. throw 4. A. exhausted B. horse C. house D. highways 5. A. vision B. prison C. soldier D. television Phần 2 6. When Henry was eating dinner, Ruth………………. A. coming B. was coming C.come D. came 7. Henry played football at school, but he …………………. since he left school in 2005. A. has played B. hasn’t played...

6p sunderland246 14-07-2011 457 100   Download