Dilation in Image Processing: Understanding '膨胀' in English

The term '膨胀' in Chinese translates to 'dilation' in English. In image processing and computer vision, dilation is a morphological operation that expands the boundaries of objects within an image.

Dilation typically uses a structuring element, which is a small binary matrix or kernel. This kernel is centered at each pixel in the image. If any part of the kernel overlaps with an object pixel, the corresponding pixel in the output image is set to 1 (white).

This operation helps fill in gaps or holes in objects and increases their size, making them appear larger. It's commonly used in various image processing tasks, including:

• Image Segmentation: Separating an image into distinct regions representing different objects or parts of objects.
• Feature Extraction: Identifying and highlighting specific characteristics or patterns in an image.
• Noise Removal: Reducing unwanted random variations in pixel intensities.

In summary, '膨胀' can be translated as 'dilation' in English. It's a crucial morphological operation for expanding object boundaries in an image using a structuring element.