Skin Pore Color Identification via Image Processing
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Solution Overview
Problem
Current methods for evaluating skin pores lack accuracy and objectivity, particularly in measuring skin pore color, due to subjectivity in visual grading and limitations of dermascope and confocal laser microscope techniques, which are not suitable for larger areas and provide limited repeatability.
Innovation Solution
A method involving image processing to extract pore images, define adjacency areas, and compare pore colors to determine contrast values, allowing for objective measurement and classification of skin pores based on color and geometry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If visual grading with naked eye examination is used, then the method is simple and inexpensive, but the accuracy and objectivity of pore evaluation deteriorates due to subjectivity
Solution Approach 1:
The patent replaces the mechanical visual examination system with an optical imaging system (dermascope or confocal laser microscope) combined with image processing algorithms. This substitution enables objective, quantitative measurement of pore characteristics including colorimetric features, while maintaining ease of use through automated analysis of captured images.
2Measurement precision
If dermascope or confocal laser microscope is used, then the objectivity and measurement precision of pore evaluation is improved, but the device complexity and cost increases
Solution Approach 1:
The patent creates a digital copy of the skin pore structure through imaging and processes this copy computationally. By working with image data rather than direct physical measurement, the system achieves objective, repeatable measurements while using simpler, more accessible imaging devices instead of complex specialized equipment.
3Measurement precision
If dermascope or confocal laser microscope is used, then the measurement precision is improved, but the productivity deteriorates because only a very small area can be examined at each measurement requiring multiple measurements
Solution Approach 1:
The patent transitions from point-by-point sequential measurement to a two-dimensional field-of-view approach. By capturing images that encompass larger skin areas and using image processing to identify and measure multiple pores simultaneously within each image, the system dramatically increases measurement efficiency while maintaining precision through automated analysis.
4Measurement precision
If dermascope or confocal laser microscope is used, then the measurement precision is improved, but the reliability deteriorates because it is difficult to relocate the exact same area in each measurement
Solution Approach 1:
The patent introduces digital image processing as an intermediary between the imaging device and the measurement results. By using image registration and coordinate mapping algorithms, the system can precisely locate and re-measure the same skin areas across multiple images, ensuring reliable repeatability even when physical relocation is difficult.
5Quantity of substance
If traditional methods are used, then the measurement is limited to pore number, size, shape and volume, but the measurement precision deteriorates because colorimetric features cannot be objectively measured
Solution Approach 1:
The patent extends the measurement parameters from basic geometric features (number, size, shape, volume) to include colorimetric parameters (color, contrast). By integrating color space analysis and contrast calculation algorithms into the image processing pipeline, the system objectively quantifies colorimetric features that were previously only assessable through subjective visual grading.
Data Source
AI summary
A method for identifying a pore color of at least one skin pore. The method includes obtaining at least one image of a subject, extracting a pore image from the obtained image, in which the extracted pore image identifies a boundary of the at least one skin pore, and superimposing the obtained image and the extracted pore image to identify the pore color within the identified boundary of the at least one skin pore.


