Image Search Edge Filtering Gradient Parameters
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image searching methods on electronic devices are inefficient, requiring users to input keywords or access webpages, leading to slow information retrieval and high data throughput and memory occupancy due to the processing of unnecessary pixels when determining image shapes.
Innovation Solution
An image searching apparatus and method that detects and filters the edge of an image using gradient parameters, allowing users to intuitively search for images by inputting a sketch or scan, reducing data throughput and memory usage by only processing edge pixels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional keyword search or webpage access methods are used, then users can search for images, but it takes lots of time to acquire information related to the image
Solution Approach 1:
The system performs preliminary edge detection and shape determination on the input image before actual search operations. By pre-processing the image to extract only the essential edge pixel data and shape characteristics, the system prepares search queries in advance, enabling rapid matching against database images without requiring time-consuming full-image analysis during the search process.
Solution Approach 2:
The invention extracts only the necessary edge pixels and shape information from the input image, discarding unnecessary interior pixel data. This extraction creates a simplified shape representation that can be quickly compared with database images, dramatically reducing the time required for image search while maintaining search accuracy.
2Measurement precision
If shape determination uses all pixels in the image, then complete shape information is obtained, but data throughput of processor and memory occupancy increase due to unnecessary pixels
Solution Approach 1:
The system extracts only the edge pixels that contain shape information, completely removing interior pixels from processing. This selective extraction maintains accurate shape determination while significantly reducing the quantity of data that needs to be processed, thereby lowering processor data throughput requirements and memory occupancy.
Solution Approach 2:
The image processing is segmented into two distinct stages: first, edge detection that identifies only boundary pixels; second, shape determination that processes only these edge pixels. This segmentation separates the useful shape information extraction from the unnecessary interior pixel processing, achieving both accuracy and efficiency.
Data Source
AI summary
An apparatus and a method for searching for an image are provided. The apparatus includes an image receiver configured to receive an image to be searched for; an image processor configured to detect an edge of the received image and to filter pixels included on the edge of the received image based on parameters related to gradients of the edge of the received image; and an image search unit configured to search for one or more images related to the image to be searched for based on the filtered pixels included on the edge of the received image.