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.

Bài giảng Trí tuệ nhân tạo: Chương 6 - Ứng dụng của thị giác máy tính (computer vision), cung cấp cho sinh viên những kiến thức như: Khái niệm thị giác máy tính; Ứng dụng thị giác máy tính. Mời các bạn cùng tham khảo!

This study presents a novel polyp segmentation approach using ResUnet++. Trained on Kvasir-SEG and CVCClinicDB, ResUnet++ significantly outperforms traditional UNet and ResUnet. Its residual blocks and attention mechanisms enhance feature extraction, leading to improved segmentation in challenging cases.

This paper also discusses practical applications of object detection in satellite images, including environmental monitoring, resource management, and disaster response. Finally, the paper suggests potential future research directions, such as developing more efficient models, handling small objects, and leveraging diverse data sources.

Face swapping is an exciting visual effect with many potential applications in entertainment and privacy protection. This paper presents an efficient approach for real-time face swapping and facial landmark detection using only computer vision techniques.

Blur image classification is essential for computer vision applications, including image quality assessment, surveillance and medical imaging systems. This study proposes a method to classify different types of blur: sharp, Gaussian blur, motion blur, and defocus blur, using the DenseNet121 architecture.

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.

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.

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.

"Đề cương chi tiết học phần Thị giác máy - Computer vision" trang bị cho sinh viên những vấn đề về lý thuyết, thuật toán cơ bản, được sử dụng rộng rãi trong thị giác máy; giúp sinh viên có khả năng đánh giá, phát triển và ứng dụng kỹ thuật thị giác máy vào các vấn đề thực tiễn.

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 Dataflow-Based Mapping of Computer Vision Algorithms onto FPGAs

This paper presents GpuCV, an open source multi-platform library for easily developing GPU-accelerated image processing and Computer Vision operators and applications. It is meant for computer vision scientist not familiar with GPU technologies. It is designed to be compatible with Intel’s OpenCV library by offering GPU-accelerated operators that can be integrated into native OpenCV applications.