Minimum Images

This function block creates a new image by taking the pixel-wise minimum of two input images. It is useful when you want to keep the darker (lower-value) pixels from two images combined into a single result.

📥 Inputs

• Image Any First image (input socket)

• Image Any Second image (input socket)

Note: Both inputs must have the same resolution and number of channels.

📤 Outputs

• Image Any Resulting image where each pixel is the minimum of corresponding pixels from the two inputs (output socket)

🕹️ Controls

No controls The block runs its operation automatically once inputs are provided.

🎨 Features

• Produces a single image that keeps the lower pixel values from the two inputs.

• Works on color and grayscale images as long as both inputs share the same shape.

• Lightweight and deterministic — useful as a simple fusion or masking step.

📝 Usage Instructions

1. Provide two images of the same size and channel layout to the two inputs.

2. The block outputs a single image where each pixel is the minimum of the two inputs.

3. Use the resulting image for further analysis, visualization, or export.

📊 Evaluation

When evaluated, the block inspects corresponding pixels from the two provided images and outputs an image composed of the smaller pixel values at each location.

💡 Tips and Tricks

• If your images differ in size, use the Image Resize block before this block to match resolutions.

• To compare results visually, connect the output to the Show Image block.

• To save results for later review, send the output to Image Logger or Image Write.

• For combining brightness-focused operations, try using Maximum Images as a complementary step (keeps brighter pixels instead).

• If you need to merge several images, use Batch Concatenation or process pairs in a loop with flow-control blocks.

🛠️ Troubleshooting

• If you see an error or unexpected result, confirm both inputs have identical width, height, and number of channels.

• If colors look incorrect, ensure both images use the same color ordering (e.g., RGB vs BGR) and channel count.

• Use Image Resize or Split Image / Merge Channels to prepare inputs before using this block.