Morphological Operations
Apply erosion, dilation, opening, closing, and morphology-based cleanup to refine masks, blobs, and binary shapes.
Apply morphological transformations to images: erosion, dilation, opening, closing, and gradient. Used for noise removal, shape analysis, and mask cleanup.
How to Use Morphological Operations
- Upload an image: Upload one of the formats listed by the tool (JPG, PNG, WebP) and wait for the local preview.
- Adjust settings and process: Select the morphological operation (Erosion, Dilation, Opening, Closing, Gradient) and adjust kernel size and iterations.
- Review and download: Review the result, then download it in one of the formats offered by this tool.
Frequently asked questions
What are morphological operations?
Morphological operations process images based on shape. They apply a structuring element (kernel) to the input image to produce an output. Common operations include erosion (shrink), dilation (expand), opening (remove noise), and closing (fill gaps).
What is the difference between opening and closing?
Opening (erosion then dilation) removes small bright spots and thin connections. Closing (dilation then erosion) fills small dark holes and connects nearby objects.
Is the Morphological Operations tool free?
Yes. All tools on Pixlane are free with no signup required.
Does it reuse cached assets on repeat visits?
Browser caching can speed repeat visits; uncached site assets can still require an internet connection.
What image formats are supported?
JPG, PNG, and WebP are supported.
How does kernel shape affect morphological operations?
Rectangle kernels produce blocky results suited for text and grid structures. Ellipse kernels create smoother, more natural shapes. Cross kernels only affect pixels in horizontal and vertical directions, useful for thinning along specific axes.
What are Top Hat and Black Hat transforms used for?
Top Hat (input minus opening) isolates small bright features on a dark background. Black Hat (closing minus input) isolates small dark features on a bright background. Both are useful for uneven illumination correction and small detail extraction.