In this paper under section 2. "Proposed Methodology", the author creates a GLCM from an image and then extracts texture features resulting in a new image for each feature. I've seen other authors do this in other papers as well. The texture features used in the image are the common Haralick features detailed on page 619 here.
How did the author extract a texture feature image from those features?
The author has a unique image for contrast, an image for entropy, an image for correlation, etc. When I look at the Haralick feature equations the result is always a number not another image.
- How is a unique image created for each texture feature?
For GLCM definition as suggested in comments, a GLCM stands for the Gray-level co-occurence matrix. It's a common technique used for texture analysis. It is defined over an image to be the distribution of co-occurring pixel values at a given offset.