fuzzy image recognition

基本解釋

Numerical experiments show that fuzzy mathematics has better efficiency in ferrographic image recognition.
將模糊數(shù)學(xué)的判別方法應(yīng)用到模式識(shí)別中去，對(duì)鉄譜圖像進(jìn)行智能識(shí)別。
Fuzzy C-means clustering is one of the important learning algorithms in the field of pattern recognition, which has been applied early to image segmentation.
模糊C-均值聚類是模式識(shí)別中的重要算法之一，很早就被應(yīng)用到圖像分割中。
Based on fuzzy set theory target recognition method, through CCD image collection, the difference between target and bullet track gradation were used to evaluate the firing grade.
基於模糊集理論目標(biāo)識(shí)別方法，通過CCD圖像採(cǎi)集，利用目標(biāo)與彈跡灰度的不同，對(duì)射擊成勣進(jìn)行評(píng)價(jià)。