Sharpness evaluation of microscopic detection image for micro parts

نویسندگان

چکیده

According to the characteristics of micro parts microscopic detection image, including image texture is similar, edge information too little and gray distribution Range limited, based on basic principles algorithm, analyzes traditional sharpness evaluation function. Aiming at defect that function cannot have both high sensitivity noise immunity, an algorithm local variance entropy proposed. The method uses weight self-information each level, one hand, it makes up for lack spatial avoids misjudgement sharpness; other can increase weights clear region pixels when they participate in calculation information, while reducing background pixels, thereby improve sensitivity. experimental results show compared with function, not only has sensitivity, but also better immunity suitable actual auto-focusing systems.

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ژورنال

عنوان ژورنال: MATEC web of conferences

سال: 2022

ISSN: ['2261-236X', '2274-7214']

DOI: https://doi.org/10.1051/matecconf/202235503013