Image Analysis Method for Region Dimension Detection

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Solution Overview

Problem

Conventional image analyzing methods often result in misjudgment due to false-triggering regions or small-scale regions of non-interest within the detective identifying area, failing to accurately detect the maximal dimension of the region of interest.

Innovation Solution

An image analyzing method and device that positions an initial triggering pixel unit within a detective identifying area, assigns detection regions based on target values, applies masks to determine triggering pixel units, and adjusts target and marking values to accurately identify the maximal dimension of the region of interest, thereby reducing computation data and improving efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If the conventional image analyzing method counts triggering pixel units within the detective identifying area, then the detection process is simple, but it results in misjudgment when false-triggering regions or small-scale non-interest regions are present

Engineering Contradiction:

Improvedetection process complexityVSAvoidregion of interest identification accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent segments the detection process into multiple phases: first identifying triggering pixel units within the detective identifying area, then performing matrix computation to determine maximal dimension. This segmentation allows the system to handle complex analysis in a structured way that maintains both simplicity and accuracy.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary computation process (matrix computation) that acts as a mediator between the simple pixel counting and the final region identification. This intermediary step processes the triggering pixel units to determine maximal dimension, effectively filtering out false triggers while maintaining detection simplicity.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Area of stationary object

If the detective identifying area covers a large region to detect all potential regions of interest, then more regions can be detected, but false-triggering regions and small-scale non-interest regions increase misjudgment

Engineering Contradiction:

Improvedetective identifying area coverageVSAvoidevent trigger accuracy

Core Design Contradiction:

Area of stationary objectVSReliability

Solution Approach 1:

The patent changes the parameter used for region evaluation from simple pixel unit count to maximal dimension determined through matrix computation. This parameter change allows the system to maintain large detection coverage while improving reliability by evaluating the actual size and continuity of detected regions.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent performs preliminary matrix computation on triggering pixel units before final region identification. This preliminary action pre-processes the detection data to determine maximal dimension, allowing the system to filter false triggers early in the process while maintaining comprehensive detection coverage.

Inventive Principle:

Principle #10Preliminary action

3Productivity

If the conventional method only counts triggering pixel units without analyzing their distribution, then the computation is efficient, but it cannot distinguish between single large-scale regions and distributed small-scale regions

Engineering Contradiction:

Improvecomputation efficiencyVSAvoidregion scale and distribution information

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The patent transitions from one-dimensional pixel unit counting to two-dimensional matrix computation that analyzes the spatial distribution and connectivity of triggering pixel units. This dimensional change enables the system to determine maximal dimension and distinguish between different region configurations while maintaining computational efficiency through systematic matrix operations.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent replaces the simple mechanical counting process with a computational matrix computation system. This substitution uses algorithmic processing to analyze pixel unit relationships and determine maximal dimension, preserving computational efficiency while recovering lost spatial and distributional information.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11012592B2Image analyzing method and related image analyzing device

Publication Date: 2021.05.18 VIVOTEK INC

AI summary

An image analyzing method of detecting a dimension of a region of interest inside an image is applied to an image analyzing device. The image analyzing method includes positioning an initial triggering pixel unit within a detective identifying area inside the image, and assigning a first detection region via a center of the initial triggering pixel unit, positioning a first based pixel unit conforming to a first target value inside the first detection region, applying a mask via a center of the first based pixel unit to determine whether a first triggering pixel unit exists inside the mask, and utilizing a determination result of the initial triggering pixel unit and the first triggering pixel unit to decide a maximal dimension of the region of interest.