Toner Consumption Detection Using Edge Pixel Analysis
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Solution Overview
Problem
Existing methods for detecting toner consumption in electrophotographic image forming apparatuses are inaccurate due to variations in image content, such as character, line, and halftone images, and require complex image processing.
Innovation Solution
An image forming apparatus that calculates toner consumption by determining the number of printing pixels with specific brightness differences in both main and sub-scanning directions, using correction factors based on horizontal and vertical edge counts to accurately estimate toner consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the pixel count number is used to detect toner consumption, then the detection can be performed without a physical remaining toner detection unit, but the actual toner consumption amount varies depending on image content (character, line, halftone, solid images)
Solution Approach 1:
The invention changes the parameter for toner consumption detection from simple pixel count to edge pixel count. By counting only pixels that satisfy specific edge conditions (brightness difference of at least a predetermined degree from adjacent pixels), the system adapts the detection parameter to account for image content variations while maintaining ease of implementation through software-based edge detection algorithms.
2Measurement precision
If the consumption amount is added up for each pixel to account for image content variations, then toner consumption accuracy improves, but the image processing becomes complex and enormous
Solution Approach 1:
The invention extracts only the essential information needed for accurate toner consumption detection - the edge pixels that represent actual toner deposition boundaries. By filtering out non-edge pixels and focusing solely on pixels with predetermined brightness differences from adjacent pixels, the system achieves accurate measurement without requiring complex processing of every pixel individually.
Solution Approach 2:
The invention applies local quality analysis by examining each pixel's local brightness characteristics and comparing it with adjacent pixels. This localized edge detection approach allows the system to accurately identify toner consumption areas without processing the entire image uniformly, reducing overall computational complexity while maintaining precision.
3Measurement precision
If the ratio of vertical edges to the sum of horizontal and vertical edges is used to limit variations, then some image content variations are addressed, but the number of pixels counted in predetermined regions is not sufficiently considered
Solution Approach 1:
The invention segments the image analysis into distinct functional components: counting horizontal edge pixels, counting vertical edge pixels, and calculating the ratio between them. This segmentation allows the system to independently analyze different edge orientations and their relative contributions, providing more comprehensive adaptation to various image patterns while maintaining processing efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables easy and accurate toner consumption estimation, reducing the need for complex processing and improving accuracy in toner detection.
Implementation Method 1
a charging portion configured to charge the photosensitive member
Implementation Method 2
an exposure portion configured to perform exposure of a surface of the photosensitive member that is charged by the charging portion
Implementation Method 3
a developing portion configured to develop the electrostatic latent image with toner
Data Source
AI summary
An image forming apparatus includes: a pixel number obtainment portion that obtains, the number of printing pixels with brightness of the exposure that is at least a predetermined brightness among pixels within a predetermined image range; a specific pixel obtainment portion that obtains first pixel information and second pixel information, which relates to an integrated value of pixels having a difference in brightness of exposure that is at least a predetermined degree of difference relative to an adjacent pixel in a main scanning direction and a sub-scanning direction within a predetermined image range; a correction factor obtainment portion that obtains, on the basis of the first pixel information and the second pixel information, a correction factor for a toner consumption amount; and a consumption amount obtainment portion configured to correct and obtain a toner consumption amount by using the correction factor obtained by the correction factor obtainment portion.