Image processing systems and methods of using the same

A medical device, comprising:

• a shaft;
• a monochromatic image sensor coupled to a distal end of the shaft;
• at least one illumination device coupled to the distal end of the shaft, the at least one illumination device being configured to emit a plurality of colors, one color at a time;
• one or more computer readable media storing instructions for performing an image processing using the monochromatic image sensor;
• and
• one or more processors configured to execute the instructions to perform the image processing comprising:
• sequentially illuminating a surface in a plurality of colors;
• capturing, by the monochromatic image sensor, a plurality of image frames of the surface based on the plurality of colors;
• identifying a target in the plurality of image frames;
• highlighting at least one feature in the target of the plurality of image frames;
• normalizing color intensities of the plurality of image frames;
• generating a color intensity map of the target for each of the plurality of image frames;
• determining a correlation score by comparing each color intensity map of the plurality of image frames;
• and
• generating the color image based on the correlation score.

A non-transitory computer-readable medium storing instructions for performing image processing using a monochromatic image sensor, the instructions, when executed by one or more processors, causing the one or more processors to perform operations comprising:

• sequentially illuminating a surface in a plurality of colors, one color at a time;
• capturing, by the monochromatic image sensor, a plurality of image frames of the surface based on the plurality of colors;
• identifying a target in the plurality of image frames;
• highlighting at least one feature in the target of the plurality of image frames;
• normalizing color intensities of the plurality of image frames;
• generating a color intensity map of the target for each of the plurality of image frames;
• determining a correlation score by comparing each color intensity map of the plurality of image frames;
• and
• generating the color image based on the correlation score.