Final answer:
In absence of context about the specific imaging system, it's difficult to determine the exact effects of the software not recognizing collimated borders. Generally, it could lead to image distortion but would less likely affect the darkness or spatial resolution unless the system is set up to adjust these parameters based on border detection.
Step-by-step explanation:
If the software cannot recognize three collimated borders, this suggests that there is an issue with how the imaging software is processing visual information. Typically, the borders are used to ensure proper alignment and scaling of an image which if not detected, can lead to various issues with the image quality.
However, without proper context, it's not clear which specific imaging process this question refers to, such as radiography or optical imaging. In general, if borders aren't recognized it could lead to a lack of proper scaling and could potentially cause image distortion. It's less likely that this would cause the image to be too dark unless the software uses border detection for exposure settings, which is possible in some imaging systems. As for spatial resolution, this is typically a factor of the imaging system's hardware (like sensor quality) and processing algorithms, not border detection.
If we are talking about an imaging system such as one used in radiography or medical imaging, the lack of recognized borders could potentially lead to incorrect interpretations due to the image not being properly scaled or aligned. The answer would largely depend on the particular system's dependency on collimated borders for generating the final image.