Morphological enhancement of microscopy mineral image using opening- and closing-based toggle operator

Area of Science:

• Geology
• Image Processing
• Materials Science

Background:

• Microscopy mineral images often suffer from low clarity, hindering detailed analysis.
• Existing image enhancement techniques may not adequately preserve fine mineral details or grayscale distribution.

Purpose of the Study:

• To develop and evaluate a novel algorithm for enhancing unclear microscopy mineral images.
• To improve the extraction of useful mineral image features, particularly fine details.

Main Methods:

• An algorithm based on a toggle operator, incorporating opening and closing operations with designed selection rules, was developed.
• Multiscale theory was integrated into the toggle operator to extract mineral image features.
• Image enhancement was achieved by adjusting contrast between extracted bright and dark features.

Main Results:

• The proposed algorithm effectively enhanced mineral images, producing clearer results with rich mineral details.
• Experimental results demonstrated superior performance compared to other existing algorithms.
• The grayscale distribution of the original mineral images was appropriately maintained.

Conclusions:

• The developed multiscale theory-based toggle operator algorithm significantly enhances microscopy mineral images.
• This method is beneficial for detailed mineral analysis and has wide applicability in image-based mineral applications.