Category Archives: Image Processing

Do it in the Buffer: Introduction to Dithering

I recently became intrigued by some art work I saw online. It is a bunch of Rubik’s cubes set up to reproduce a picture. The artists are essentially reducing the image’s colors down to a palette of six colors with … Continue reading

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Do it in the Buffer: Comparison of RasterImage Image Data Access Methods in .NET

There are several ways to access the data in a RasterImage. If you need to get the RGB values of each pixel, then the GetPixel() and GetRow() methods are the simplest methods to use. Few Pixels If you need to … Continue reading

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Compare Images: 25 Projects in 25 Days

Mostly Similar Images Identical Images Mostly Different Images As part of the LEAD Technologies 25th anniversary, we are creating 25 projects in 25 days to celebrate LEAD’s depth of features and ease of use. Today’s project comes from Amin. What … Continue reading

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Reverse Animated GIF: 25 Projects in 25 Days

Open Gif File Save Reversed Gif Ping Pong Option As part of the LEAD Technologies 25th anniversary, we are creating 25 projects in 25 days to celebrate LEAD’s depth of features and ease of use. Today’s project comes from Aaron. … Continue reading

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iOS Stacked Image Processing: 25 Projects in 25 Days

Stacked Image Processing Screenshot As part of the LEAD Technologies 25th anniversary, we are creating 25 projects in 25 days to celebrate LEAD’s depth of features and ease of use. Today’s project comes from Joe. What it Does This Objective-C … Continue reading

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Region-aware Image Processing and Annotations in Swift for iOS: 25 Projects in 25 Days

Region Processing Screenshot As part of the LEAD Technologies 25th anniversary, we are creating 25 projects in 25 days to celebrate LEAD’s depth of features and ease of use. Today’s project comes from Joe. What it Does This project uses … Continue reading

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Get Image Changes LEADTOOLS Sample

Recently, a customer needed to find the differences between two images. More specifically the customer needed to find what changed between the two images and crop to leave only the change. From there, the LEADTOOLS OCR engine converted the cropped … Continue reading

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