Skin State Analysis Using Modular Image Processing
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Solution Overview
Problem
Existing skin analysis methods fail to accurately perform multidimensional analysis of skin texture, pores, spots, skin tone, and sebum, and do not effectively display results in a discernible manner for both professionals and non-experts, lacking numerical representation and progressive analysis capabilities.
Innovation Solution
A method and apparatus that analyze skin texture, pores, spots, and sebum using image processing techniques to generate numerical parameters for pore size, furrow width, and ridge fineness, and display results in a user-friendly format, allowing for comparison with age distribution and progressive analysis over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If skin analysis is performed using traditional image processing methods, then basic skin features can be identified, but accurate multidimensional analysis of texture, pores, spots, skin tone, and sebum cannot be achieved
Solution Approach 1:
The patent segments the skin analysis into multiple independent analysis modules, each dedicated to a specific skin parameter (texture analysis module, pore analysis module, spot analysis module, skin tone analysis module, and sebum analysis module). This segmentation allows each module to specialize in detecting specific skin features using appropriate image processing techniques, thereby achieving accurate multidimensional analysis while maintaining manageable system complexity through modular design.
Solution Approach 2:
The patent transforms qualitative skin characteristics into quantitative parameters by generating numerical values for each skin feature (e.g., texture parameters, pore size parameters, spot density parameters, skin tone parameters, and sebum amount parameters). This parameter transformation enables precise measurement and comparison of skin states, achieving high measurement precision through numerical representation of skin conditions.
2Measurement precision
If detailed numerical analysis results are generated, then accurate skin evaluation is achieved, but the results are difficult for non-experts to interpret
Solution Approach 1:
The patent introduces a display control module that acts as an intermediary between the numerical analysis results and the user. This module generates visual display information that translates complex numerical data into easily interpretable graphical representations, such as bar charts comparing different skin parameters and before-after comparison displays. This intermediary transformation maintains the precision of numerical analysis while making the results accessible to non-expert users through intuitive visual presentations.
Solution Approach 2:
The patent employs color-coded visual representations to indicate different skin condition levels and changes. By using color variations to represent different skin parameter values and improvement levels, the system enables non-expert users to quickly comprehend skin analysis results and track skin condition changes without needing to interpret complex numerical data.
3Adaptability or versatility
If multiple skin parameters are analyzed simultaneously, then comprehensive skin assessment is achieved, but the analysis time and processing complexity increase
Solution Approach 1:
The patent implements parallel processing by dividing the comprehensive skin analysis into separate analysis modules that can operate simultaneously. Each module (texture analysis, pore analysis, spot analysis, skin tone analysis, and sebum analysis) processes its specific skin parameter independently and in parallel, enabling comprehensive multidimensional skin assessment without significant increase in total processing time. This parallel modular architecture achieves both comprehensiveness and efficiency.
Solution Approach 2:
The patent performs preliminary image preprocessing operations (such as image acquisition, normalization, and enhancement) before dividing the analysis into parallel modules. By preparing the image data in advance and standardizing it for multiple analysis types, the system reduces redundant processing and enables faster parallel execution of different skin parameter analyses, thereby decreasing overall processing time while maintaining comprehensive assessment capability.
Data Source
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AI summary
A skin state analyzing method for analyzing the skin state of an examinee using an image of the skin of the examinee includes an analyzing step of analyzing at least one of texture/pores, spots, skin tone, and sebum of the skin from the image, a storing step of storing the image and an analysis result obtained from the analyzing step in association with skin examination date/time information and examinee information, a display screen generating step of generating a screen displaying the image and the analysis result of the examinee stored in the storing step, and an output step of outputting the information generated in the display screen generating step.