The hottest Image Processing Substack posts right now

And their main takeaways
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Top Technology Topics

AprilTags: Why Robotics Invented Its Own QR Code

Luminotes • 7 implied HN points • 09 Feb 24
🕹 Technology Robotics Computer Vision Algorithms Open Source Image Processing
  1. AprilTags are similar to QR codes but are used as fiducial markers in robotics for localization purposes.
  2. AprilTags, created by the reputable robotics lab April, enable systems to localize features in 6 degrees of freedom using a single image.
  3. AprilTags differ from QR codes as they are designed for easy detection in low resolution, unevenly lit, or cluttered images and can detect multiple tags.

A Nibble of Quadtrees in Rust

Get Code • 7 implied HN points • 22 Feb 23
🕹 Technology Data Structures WebAssembly Image Processing
  1. Quadtrees are data structures where each non-leaf node has exactly four children and are used to represent properties of two-dimensional space.
  2. Quadtrees are used for performance reasons, like optimizing collision detection in simulations with many moving objects.
  3. Implementing region quadtrees in Rust involves subdividing the tree based on error thresholds and region lengths to efficiently represent images.

Episode 2: Image Text Extraction for Eligibility Checks

Healthtech Hacks • 1 HN point • 17 May 23
🕹 Technology Automation NLP Image Processing Healthcare
  1. One field where computers are advancing significantly is Optical Character Recognition (OCR), especially in healthcare.
  2. Automating eligibility checks saves time and reduces errors for both patients and healthcare providers.
  3. Implementing OCR for image text extraction can streamline processes in healthcare, but human review is still essential for accuracy.

DeOldify.NET

Barn Lab • 0 implied HN points • 07 Jun 23
🕹 Technology Neural Networks Image Processing
  1. Colorization of black-and-white images involves using color spaces like Lab to represent colors digitally
  2. Neural networks have been trained on colorized image datasets to aid in the colorization process
  3. DeOldify.NET offers a user-friendly way to colorize old images using AI without needing complex tools or specialized websites
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So you want to code a convolution in Python - a bite-sized image processing with kernel

Curiosity-driven AI/ML Research Engineering • 0 implied HN points • 16 Feb 24
🕹 Technology Programming Image Processing Machine Learning Python AI
  1. Images are represented as pixels, each containing information about red, green, and blue colors (RGB) within the range of 0 to 255.
  2. Implementing a convolution in Python involves using NumPy arrays and Pillow to manipulate images effectively.
  3. Convolution implementation requires traversing the image pixel by pixel, extracting image slices, computing new pixel values using kernels, and ensuring to handle all three color channels in the output.

How to Design Software — Image Uploaders

Joseph Gefroh • 0 implied HN points • 19 Oct 19
🕹 Technology Software Design Image Processing Scalability Security
  1. When designing a system for image uploading, it's important to consider technical concerns such as displaying, authorizing, validating, processing, storing, and associating the images.
  2. Tradeoffs to think about include scaling to handle large uploads efficiently, ensuring security to prevent vulnerabilities, managing authorization based on business logic, and maintaining consistency in the image uploading workflow.
  3. A well-designed image uploading system should support creating and using various image variants, offloading processing to separate services, ensuring consistent growth across subsystems, and establishing clear architectural boundaries for scalability.