Morphological operation method and device based on local density map, equipment and medium

By calculating local density maps and assigning adaptive structural element parameters to images, the problem of insufficient adaptability in traditional morphological methods is solved, achieving efficient image processing results and improving edge preservation and structural similarity.

CN122289005APending Publication Date: 2026-06-26SICHUAN JIUZHOU ELECTRONICS TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
SICHUAN JIUZHOU ELECTRONICS TECH
Filing Date
2026-03-26
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Traditional morphological methods lack adaptability, resulting in poor processing quality. They cannot take into account the differential processing of local image features and are prone to loss of details and residual noise.

Method used

By calculating local density maps, different structuring element parameters of different sizes are assigned to different regions based on the local gray-level distribution characteristics of the image. Morphological operations are then performed, and multiple results are fused to obtain the final processing result.

Benefits of technology

It achieves differential processing based on local image features, improves the processing quality of morphological operations, preserves image details and effectively removes noise, and enhances edge preservation and structural similarity.

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Abstract

This invention discloses a method, apparatus, device, and medium for morphological operations based on local density maps, relating to the field of image processing technology. The method includes: calculating a local density map based on a target image; using the local density map to characterize the local grayscale distribution features of each pixel; assigning structural element parameters of different sizes to different regions based on the local density map; performing morphological operations on the target image using structural element parameters of different sizes to obtain multiple morphological operation results; and fusing the multiple morphological operation results based on the local density map to obtain the final morphological operation result. This invention accurately perceives local image features through local density maps, adaptively assigns structural element parameters of different sizes to different regions, and organically combines the processing advantages of different parameters through a fusion strategy. While maintaining high computational efficiency, it effectively balances detail preservation and noise suppression, significantly improving the processing quality of morphological operations.
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