Artificial Bee Colony Optimization Technique-Based Video Copyright Protection In DWT-PCA Domain
S. Ponnisathya, S. Ramakrishnan, P. Sathiyamurthi · Apple Academic Press eBooks · 2024
In any image processing activity, it is necessary to extract meaningful features from the raw image that defines the properties of the texture of an image. Texture patterns play a vital role in classifying the image type or the region of interest. Texture analysis based on extracted features is widely used in classification images, it could be medical, photomicrograph, satellite, or aerial images. Many researchers have proposed various feature extraction methods using raw images for efficient image classification and reduction of columns as compared to a raw image. The raw image is an intensity matrix of an image. This chapter gives a clear explanation of one state-of-art method, the gray-level co-occurrence matrix (GLCM) or gray tone spatial dependence matrix. This chapter also discussed advantages, disadvantages, examples, and applications of this feature extraction method.