🟠 Image Erosion

Function Description

This operator performs morphological erosion operations on input grayscale or binary images. Erosion is a basic morphological operation opposite to dilation, whose core effect is to make bright regions (such as white pixels) in images "shrink" or "become thinner". It achieves the shrinkage effect of bright areas by sliding a structural "kernel" over the image and assigning the minimum pixel value within the kernel-covered area to the center pixel.

Usage Scenarios

  • Remove noise: Effectively removes isolated small bright spots or patches in images (commonly called "salt" noise).

  • Separate objects: When two or more objects are slightly adhered, erosion operation can break thin connections between them, thus separating them.

  • Thin contours: Can make object contours thinner, remove edge burrs, making shapes smoother.

  • Combined operations: Serves as a basic step for more complex morphological operations (such as "opening operation").

Input Output

Input

Image: Single-channel grayscale or binary image to be processed.

Output

Eroded image: Image after erosion processing.

Parameter Description

Erosion Kernel Size

Parameter Description

Side length of the square structural kernel used for erosion operation. For example, a value of 3 means using a 3x3 kernel.

Parameter Adjustment

  • Increase this value: Stronger erosion effect, broader shrinkage range of bright areas, can remove larger noise points or break thicker connections.

  • Decrease this value: Milder erosion effect, more subtle changes to the image.

When adjusting, choose appropriate kernel size based on the noise point size to be removed or connection thickness to be broken. Generally, the kernel size should be slightly larger than the feature size to be processed. Generally use odd numbers like 1, 3, 5, etc.

Parameter Range

[1,50], default value: 3

Iteration Count

Parameter Description

Sets the number of consecutive executions of erosion operation.

Parameter Adjustment

Increase iteration count: Equivalent to repeatedly applying the same size kernel to the image, making bright areas continuously shrink. For example, 2 iterations of 3x3 erosion will produce stronger effects than 1 iteration.

When fine control of erosion degree is needed, you can maintain a smaller kernel size and gradually enhance effects by increasing iteration count.

Parameter Range

[1, 100], default value: 1