> For the complete documentation index, see [llms.txt](https://docs.augelab.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.augelab.com/function-blocks/blocks-reference/image-transformations/operations/divide-images.md). # Divide Images This function block performs a pixel-wise division of two images to produce a new image. It is useful for normalization, ratio measurements, defect highlighting and other image arithmetic tasks where one image is used to scale or correct another. ## đŸ“Ĩ Inputs `Image Any` First image input (numerator). Provide a regular image to be divided. `Image Any` Second image input (denominator). Provide an image with the same dimensions as the first. Note: sockets above are inputs and both must be connected with images of matching size and channel layout. ## 📤 Outputs `Image Any` Resulting image after pixel-wise division of the first input by the second input. ## 🕹ī¸ Controls This block has no interactive widgets. Configure inputs upstream before evaluation. ## 🎨 Features * Pixel-wise division result with proper image range handling suitable for visualization or further processing. * Direct replacement in pipelines where comparative or normalized images are required. * Designed to work with images that share identical dimensions and channels. ## ⚙ī¸ Running mechanism When the block runs it takes the two connected images and computes a pixel-wise division of the first image by the second. The block expects both images to match in size and channel layout; if they do not match, the block cannot perform the operation and will require you to correct the inputs before successful evaluation. ## 📝 Usage instructions * Connect the image you want to divide to the first `Image Any` input. * Connect the image you want to divide by to the second `Image Any` input. * Ensure both images have identical width, height and channels before running the block. * Read the output from the `Image Any` output to continue processing or to view the result. ## 💡 Tips and Tricks * If the two images are different sizes, use the `Image Resize` block upstream to resample one image to match the other. * To avoid problems with zero or near-zero pixels in the denominator, add a small constant image before division. Create a small-value image with `Make Image` and combine it with the denominator using `Add Images` or `Add Images Weighted`. * Normalize inputs first (for example with `Normalize Image`) if you expect wide dynamic range differences between the two images. * For visualization after division, use `Auto Contrast` or `Adjust Colors` to make subtle differences more visible. * Preview intermediate or final images with the `Show Image` block and save results using `Image Logger` or `Image Write` if needed. ## 🛠ī¸ Troubleshooting * Mismatched image sizes: Ensure both inputs have the same dimensions. Use `Image Resize` to fix mismatches. * Unexpected artifacts or blown-out pixels: Check for zero or very small values in the denominator and add a small constant if necessary. Also consider normalizing the inputs first. * Strange color shifts: Confirm both images share the same channel order (e.g., BGR/RGB) and channel count. Use color conversion or channel operations upstream if needed.