In the context of histogram analysis, what is a potential outcome of including inappropriate data ranges?

In histogram analysis, including inappropriate data ranges can lead to an inaccurate representation of the image. A histogram visually represents the distribution of pixel values in an image, which is crucial for understanding its overall exposure, contrast, and brightness. If data ranges that do not correspond to the relevant pixel values are included, it can distort the histogram. This distortion may lead to misinterpretation of the image's characteristics, resulting in either underexposed or overexposed areas being represented inaccurately. Consequently, clinicians or radiologists may make flawed assessments or diagnoses based on this misleading information. This highlights the importance of properly setting the range of data included in histogram analysis to ensure accurate image representation and reliable clinical outcomes.