Feature Extraction and Image Processing for Computer Vision

Publisher ‏ : ‎ Academic Press; 4th edition (December 2, 2019)
Language ‏ : ‎ English
Paperback ‏ : ‎ 650 pages
ISBN-10 ‏ : ‎ 0128149760
ISBN-13 ‏ : ‎ 978-0128149768
Item Weight ‏ : ‎ 2.31 pounds
Dimensions ‏ : ‎ 7.52 x 1.53 x 9.25 inches

Feature extraction and image processing are crucial steps in the field of computer vision, allowing machines to interpret and understand visual information.

Feature extraction involves identifying and extracting important patterns or features from raw data, such as images. These features can include edges, corners, textures, shapes, and colors. By extracting these features, computers can analyze and interpret the visual content of an image more effectively.

Image processing, on the other hand, involves manipulating and enhancing images to improve their quality or extract useful information. This can include techniques such as filtering, edge detection, image segmentation, and object recognition.

In computer vision, feature extraction and image processing play a vital role in tasks such as object detection, facial recognition, image classification, and autonomous navigation. By leveraging these techniques, machines can better understand and interpret the visual world, enabling a wide range of applications across industries.

Overall, feature extraction and image processing are essential components of computer vision systems, allowing machines to extract meaningful information from visual data and make intelligent decisions based on that information.
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