Website Page Density Analysis via Image Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional technologies for determining website page density and readability are time-consuming, error-prone, and fail to provide consistent results due to subjectivity in defining graphical elements and inconsistencies in measuring textual and graphical content areas.
Innovation Solution
A website page density and readability system that captures an image of a website page, determines text and graphic densities, and calculates a readability score by analyzing the image and removing text content to assess the graphic density and overall page density.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional methods are used to determine website page density and readability, then manual analysis can be performed, but the process becomes time-consuming and error-prone
Solution Approach 1:
The patent replaces manual mechanical analysis with an automated image processing system that captures website pages as images and uses computational algorithms to determine text density, graphic density, and readability scores, eliminating time-consuming manual efforts while maintaining accuracy
Solution Approach 2:
The patent creates a visual copy of the website page by capturing it as an image, which then serves as the basis for automated analysis. This image copy allows for rapid processing and measurement of text and graphic content without needing to manually examine the actual webpage
2Measurement precision
If manual methods are used to define graphical elements and measure content areas, then flexibility in analysis can be maintained, but subjectivity and inconsistency increase
Solution Approach 1:
The patent segments the website page image into distinct components by identifying and separating text content from graphic content through image processing techniques. This segmentation allows for objective measurement of each element's area and density without subjective interpretation
Solution Approach 2:
The patent transforms the analysis from subjective manual assessment to objective parameter-based measurement by calculating specific metrics such as text density (text area/total area), graphic density (graphic area/total area), and readability scores based on these measurable parameters, ensuring consistent and reliable results
3Loss of information
If comprehensive analysis of text and graphics is performed, then detailed readability information can be obtained, but the complexity of the analysis process increases
Solution Approach 1:
The patent creates a multi-functional analysis system that simultaneously performs multiple tasks: capturing the webpage as an image, identifying text regions, identifying graphic regions, calculating text density, calculating graphic density, and determining readability scores. This universal approach provides comprehensive information through a single integrated process rather than multiple separate analyses
Data Source
AI summary
Methods, system, and non-transitory processor-readable storage medium for a website page density and readability system are provided herein. An example method includes capturing an image of a website page rendered in a web browser. The website page density and readability system determines a text density associated with text content in the image, and then removes the text content from the image. The website page density and readability system determines a graphic density associated with graphic content in the image, and determines a website page density associated with the website page using the text density and graphic density.