Author(s)

Liping Wang, Yinhua Wang

Corresponding Author

Liping Wang

ABSTRACT

Due to the limited number of microelectrodes implanted into human body in current artificial vision, a large amount of information cannot be transmitted, so the collected images of the external world must be simplified and enhanced to extract the main information in the images. Based on this, this paper proposes a clustering validity method based on fuzzy proximity degree by introducing the global brightness contrast feature of the image and combining the brightness difference features in other color spaces based on fuzzy information processing. By stimulating an undamaged part of the visual pathway, such as retina, optic nerve or visual cortex, through the stimulation electrode array, the blind person can obtain certain visual illusion, thus enabling the blind person to regain some or all of the photosensitive ability. Compared with the traditional clustering validity method, this method has the characteristics of clear concept, simple operation and accurate results.

KEYWORDS

Fuzzy information processing; Artificial visual images; Image processing