Digital camouflage effect evaluation method
By integrating multiple local feature parameter indicators and distributing weights in the evaluation of digital camouflage camouflage effect, the problem of low evaluation accuracy in the prior art is solved, and more accurate camouflage effect evaluation and digital camouflage optimization design are achieved.
CN119762810AActive Publication Date: 2025-04-04BEIJING INST OF TECH
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Patent Information
- Application Number
- CN202411965399.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-30
- Publication Date
- 2025-04-04
- Estimated Expiration
- 2044-12-30
AI Technical Summary
Technical Problem
The existing digital camouflage camouflage effect evaluation method lacks comprehensive consideration of local features when considering image similarity, resulting in low evaluation accuracy.
Method used
Multiple parameter indicators such as grayscale similarity, color similarity, texture similarity, patch size similarity, edge similarity and edge fusion are used, and these indicators are fused into a comprehensive evaluation indicator through weight allocation to improve the evaluation accuracy.
Benefits of technology
By more comprehensively considering the relationship between image similarity and camouflage effect, a more accurate evaluation of the camouflage effect is achieved, which is helpful for the optimized design and engineering application of digital camouflage.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a digital camouflage painting effect evaluation method, and belongs to the field of digital camouflage painting. The implementation method comprises the following steps: acquiring a background image of a working scene by using aerial photography equipment, and obtaining a digital camouflage image matched with a working background; processing and calculating the background image and the digital camouflage image by using a calculation platform; selecting a plurality of parameter indexes including gray similarity, color similarity, texture similarity, plaque size similarity, edge similarity and edge fusion degree; the indexes are fused into a comprehensive evaluation index by distributing weights for the indexes, and the digital camouflage painting effect is evaluated according to the comprehensive evaluation index, so that quantitative analysis and high-efficiency evaluation are realized; and according to the quantitative analysis result of the sub-parameters, guiding the design and optimization work of the disguised digital camouflage.
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