Fundamentals of Computer Vision

Price: $150.00
(as of Dec 27,2024 07:05:01 UTC – Details)

Publisher ‏ : ‎ Cambridge University Press; 1st edition (November 7, 2017)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 390 pages
ISBN-10 ‏ : ‎ 1107184886
ISBN-13 ‏ : ‎ 978-1107184886
Item Weight ‏ : ‎ 2.15 pounds
Dimensions ‏ : ‎ 7.5 x 1 x 10.5 inches

Computer vision is a field of study that enables computers to interpret and understand the visual world. It combines elements of artificial intelligence, machine learning, and computer science to analyze and process visual information such as images and videos.

Fundamentally, computer vision involves three main components: image acquisition, image processing, and image analysis.

1. Image acquisition: This is the process of capturing images or videos using cameras or other visual sensors. The quality of the images acquired can significantly impact the accuracy of the computer vision system. Factors such as resolution, lighting conditions, and camera angle need to be considered during image acquisition.

2. Image processing: Once images are acquired, they need to be pre-processed to enhance their quality and extract relevant features. This may involve tasks such as noise reduction, image enhancement, and image segmentation. Image processing techniques help in preparing the data for further analysis and interpretation.

3. Image analysis: The final step in computer vision involves analyzing and interpreting the processed images to extract meaningful information. This may include object detection, image classification, image recognition, and pattern recognition. Machine learning algorithms such as convolutional neural networks (CNNs) are commonly used in image analysis tasks to train models that can accurately identify and classify objects in images.

Overall, the fundamentals of computer vision lie in understanding how computers can perceive and interpret visual information. By mastering image acquisition, image processing, and image analysis techniques, researchers and developers can create powerful computer vision systems that have a wide range of applications in various industries such as healthcare, automotive, robotics, and security.
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