細(xì)胞的識(shí)別是醫(yī)學(xué)檢測(cè)中的一個(gè)重要部分，很多疾病的診治主要依靠醫(yī)學(xué)專(zhuān)家觀
察標(biāo)本中細(xì)胞的形態(tài)，對(duì)細(xì)胞進(jìn)行識(shí)別和分類(lèi)。這種人工分類(lèi)的工作重復(fù)而單調(diào)、效率低下。本文研究的基于小波變換的癌細(xì)胞邊緣提取算法，有利于準(zhǔn)確、快速識(shí)別癌細(xì)胞，具有很好的推廣價(jià)值。
關(guān)鍵詞：小波變換;癌細(xì)胞;邊緣提取
Keyword: The identifying of cell is an importance within medical science examination part, a lot of paroxysm the is main dependent on medical science expert observe specimen inside the cell's appearance, proceeds to identify to cell with classification.This kind of artificial classification of work repetition but the monotone, efficiency is lowly.The article research the algroithm of obtaining the cancer cell’s edge based on wavelet transform,can
accuratly and quickly identify the cell of cancer,and it is important.
Key word: wavelet transform;cancer cell;edge detection