Texture Parameters Extraction of Satellite Image

Ms. Ashwini Raut; Mr. Mayur A. Patil; Mr. Chaitanya P. Dhondrikar; Mr. Sushant D. Kamble

CALL FOR PAPERS : Feb-2026

Submission Last Date

25-Feb-26

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Texture Parameters Extraction of Satellite Image

Author(s):

Ms. Ashwini Raut , Depatment Of Electronics Engineering, Rajiv Gandhi College Of Engineering & Research ; Mr. Mayur A. Patil, Depatment Of Electronics Engineering, Rajiv Gandhi College Of Engineering & Research; Mr. Chaitanya P. Dhondrikar, Depatment Of Electronics Engineering, Rajiv Gandhi College Of Engineering & Research; Mr. Sushant D. Kamble, Depatment Of Electronics Engineering, Rajiv Gandhi College Of Engineering & Research

Keywords:

Gray Level Co-occurrence Matrix, Angular Second Moment, Inverse Difference Moment

Abstract:

Texture, the pattern of information or arrangement of the structure found in an image, is an important feature of many image types. In a general sense, texture refers to surface characteristics and appearance of an object given by the size, shape, density, arrangement, proportion of its elementary parts. Due to the signification of texture information, texture feature extraction is a key function in various image processing applications, remote sensing and content based image retrieval. Texture features can be extracted in several methods, using statistical, structural, model-based and transform information, in which the most common way is using the Gray Level Co-occurrence Matrix (GLCM). GLCM contains the second-order statistical information of spatial relationship of pixels of an image. From GLCM, many useful textural properties can be calculated to expose details about the image content.