The % setting in Find.Same.Images.OK refers to the similarity level or tolerance with which the program finds and compares identical or similar images. Here is a detailed explanation:1. The similarity level or tolerance in image search!
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| (Image-1) Example with percentage setting 70 in Find.Same.Images.OK in the image search! |
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2.) Key benefits of the similarity percentage setting:
1. Fine-tuning search
Allows the user to precisely adjust the sensitivity of image comparison.
2. Exact duplicate detection
At 100%, only completely identical images are found, which is useful for eliminating exact duplicates.
3. Flexibility
The user can choose how tolerant the program should be to differences between images.
4. Different scenarios
Ideal for finding edited, slightly modified, or images saved in different formats.
5. Detect image variations
Even slightly changed versions of an image (e.g. color or brightness adjustments) can be recognized as similar.
6. Effective use of storage space
Finding similar images can delete redundant image files, saving storage space.
7. Time saving
Automating the comparison process saves time compared to manually reviewing image collections.
8. Improved organization
Helps clean and better organize image collections by removing duplicate or similar images.
9. Image copy detection
Finds copies of an image saved in different formats (JPEG, PNG, BMP).
10. Reduced version detection
Detects smaller or enlarged copies of the same image.
11. Image rotation detection
The program can detect images that have been rotated or mirrored.
12. Color modification detection
Even images with color changes are detected, which is especially useful for edited images.
13. Brightness and contrast differences
Also tolerates adjustments in brightness and contrast, which makes it easier to detect edited images.
14. Useful for photographers
Photographers can find and compare similar images to keep the best versions.
15. Supports large image collections
The feature can be used with large data sets to identify a large number of similar or duplicate images.
16. Screenshot detection
Finds similar screenshots even if there are small differences.
17. Different resolution detection
Images in different resolutions but with similar content are detected.
18. Artificial image compression detection
Detects similar images despite lossy compression.
19. Useful for web designers
Web designers can find similar graphics or logos and remove redundant files.
20. Efficient image search
Enables quick image search for similarity in large image libraries.
21. No manual image analysis needed
Reduces the effort of manually checking images for similarity.
22. Image comparison filter
The percentage filter makes it easier to analyze certain types of images.
23. Useful for digital collections
Digital archive material can be easily checked for duplicates or similar images.
24. Detects edited images
Even heavily edited or filtered images can be recognized as similar.
25. Identify reflections
Detects mirrored versions of images that are often difficult to find manually.
26. Useful for graphic designers
Graphic designers can find similar designs and avoid duplicates.
27. Detects logos and symbols
Finds similar logos or symbols even with small changes.
28. Powerful image search
Searching is fast and efficient despite the complexity of image analysis.
29. Customizable accuracy
The percentage can be customized to suit the user's needs, depending on how strictly or loosely they want to compare images.
30. Automated image management
Ideal for automatically managing and cleaning up image archives.
31. Detects screenshots with changes
Screenshots that have minor changes can also be detected.
32. Multiple formats supported
Supports numerous image formats and detects similar images regardless of their file type.
33. Detects image combinations
Even if an image appears in a larger image or collage, it can be detected.
These benefits show how versatile and useful the similarity percentage setting in Find.Same.Images.OK is, especially when it comes to finding and managing similar or duplicate images in large collections.
FAQ 27: Updated on: 16 September 2024 16:27
