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Compare Dilation and Erosion
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teamques10
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| Sr. no. | Dilation | Erosion |
|---|---|---|
| 1. | Dilation adds pixels to the boundary of an object in an image. It is vector addition of image and structuring elements. | Erosion removes pixels from the boundary of an object in an image. |
| 2. | The value of the output pixel is the maximum value of all the pixels in the input pixel's neighborhood | The value of the output pixel is the minimum value of all the pixels in the input pixel's neighborhood. |
| 3. | In a binary image, if any of the pixels is set to the value 1, the output pixel is set to 1. | In a binary image, if any of the pixels is set to 0, the output pixel is set to 0. |
| 4. | Pixels beyond the image border are assigned the minimum value afforded by the data type. | Pixels beyond the image border are assigned the maximum value afforded by the data type. |
| 5. | For grayscale images, the minimum value for uint8 images is 0 | For grayscale images, the maximum value for uint8 images is 255 |
| 6. | It is defined as,$X⊕B=\{{z|[(\hat{B})_Z ∩X ]∈X }\}$ | It is defined as, $X⊝B=\{{z|(\hat{B})_Z ∈X \}}$ |
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