What image processing technique helps in detecting lesions in DXR?

Edge enhancement is a crucial image processing technique used in DXR (Digital X-Ray) to improve the visibility of lesions. By increasing the contrast at the boundaries of structures within an image, edge enhancement allows for a clearer distinction between the lesions and surrounding tissues. This makes it easier for radiologists and other medical professionals to identify and analyze the presence of abnormalities.

In the context of medical imaging, enhancing edges helps to emphasize the contours and outline of lesions, making them stand out against the background. This is particularly important in diagnostic imaging where detecting subtle differences in tissue density can lead to early diagnosis and treatment of conditions such as tumors or other pathological findings.

Other image processing techniques, such as contrast adjustment, while beneficial for improving the overall visibility of an image, do not specifically highlight edges and may not assist as effectively in the detection of lesions. Colorization and format conversion also do not contribute to identifying lesions in the same manner that edge enhancement does. They serve different purposes, such as changing the aesthetics of the image or modifying the file format for compatibility, without necessarily improving the detection of lesions.