Image Features in Machine Learning
Anterpreet Kaur Bedi, Ramesh Kumar Sunkaria · 2022
The current chapter consists of a detailed study of various features that are used in the image-processing systems. Various features have been developed for extracting information from the images available in the ever-increasing dataset. The important visual features that are most commonly used for information extraction are described in this chapter. Study of color, texture, and shape features has been carried out. Study of features is important since all the image-processing applications based on machine and deep learning revolve around feature extraction. Extraction of features using deep learning can make a task quite easier compared to the manual extraction of features for the same application. These features can be exploited further in various applications that are based on machine learning or deep learning. Once acquainted, these features can further help in accessing the images using deep-learning technology. Features help in saving a large amount of space and can help in analyzing images faster for any application.