Dual Optical System Obstacle Detection via Histogram Comparison
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Solution Overview
Problem
In digital photographing apparatuses, detecting obstacles on the optical system is difficult, which can degrade image quality, and existing methods lack effective means to identify and inform users about such obstacles.
Innovation Solution
A digital photographing apparatus with two optical systems on different axes compares pixel histograms from each system to determine if an obstacle is present, using histogram differences and reference values to inform the user and provide location information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single optical system is used, then the device structure is simple, but obstacle detection capability is insufficient
Solution Approach 1:
The patent combines multiple optical systems (first optical system and second optical system) into a single photographing apparatus, allowing simultaneous capture of first and second images through different optical paths. This merging approach enables obstacle detection by comparing histograms from both optical systems, thereby improving reliability without requiring completely separate devices.
Solution Approach 2:
The photographing apparatus is designed with multi-functionality: it can simultaneously perform normal image capture through either optical system and obstacle detection by comparing images from both systems. The histogram comparison mechanism serves dual purposes of analyzing image content and detecting obstacles, making the device versatile.
2Measurement precision
If obstacle detection is added to improve image quality, then detection accuracy improves, but processing complexity increases
Solution Approach 1:
The patent replaces complex mechanical or sensor-based obstacle detection mechanisms with a computational approach using histogram analysis. By comparing pixel value distributions from images captured through different optical systems, the apparatus can detect obstacles algorithmically without adding complex physical detection hardware, thus maintaining processing efficiency.
Solution Approach 2:
The patent utilizes changes in histogram parameters (pixel value frequency distributions) to detect obstacles. When an obstacle is present, it affects the optical path and alters the pixel value distribution in captured images. By monitoring these parameter changes and comparing them between the first and second optical systems, the apparatus can accurately detect obstacles through mathematical analysis rather than complex physical measurements.
Data Source
AI summary
A digital photographing apparatus, a method of controlling the same, and a computer readable storage medium, the method including obtaining a first image captured from an optical signal received via a first optical system; obtaining a second image captured from an optical signal received via a second optical system; calculating a first histogram from the first image, where the first histogram represents a frequency distribution according to values of pixels of the first image; calculating a second histogram from the second image, where the second histogram represents a frequency distribution according to values of pixels of the second image; comparing the first histogram and the second histogram with each other; and determining whether an obstacle is present on at least one of the first and second optical systems, based on the result of comparison.