Elysia Tools
Navigation
Design
Apply erosion morphological operation to shrink foreground objects in binary images
Execution
Fill in the form, run the tool, and review the result in one place.
Samples
Related
Ready for a run
Tool usage guide
The Image Erode tool performs a morphological erosion operation to shrink foreground objects within binary images. By removing pixels from the boundaries of shapes, this utility helps isolate features, separate connected objects, or reduce noise in black-and-white image data.
Background
A scanned document resulted in a binary image where some characters were touching due to low resolution.
Problem
The OCR software could not distinguish between connected letters.
How to use
Upload the scanned binary image and set iterations to 1 to slightly shrink the character strokes.
iterations: 1Outcome
The characters are successfully separated, allowing the OCR software to read the text accurately.
Background
A segmentation mask contained small, isolated white pixels (noise) that interfered with object detection.
Problem
The noise pixels were causing false positives in the detection algorithm.
How to use
Upload the mask and apply 2 iterations of erosion to eliminate the small noise clusters.
Erosion is a morphological operation that shrinks the white foreground areas of a binary image by removing pixels from their boundaries.
It is designed for binary images. If you upload a color image, it may not produce the expected morphological results.
Iterations determine how many times the erosion process is repeated; higher values result in more significant shrinkage of the foreground objects.
The tool supports common formats including JPEG, PNG, WebP, GIF, BMP, and TIFF.
No, this tool specifically performs erosion (shrinking). To increase object size, you would need a dilation tool.
iterations: 2Outcome
The small noise pixels are completely removed, leaving only the primary objects in the mask.