CAJ | 학술논문

微阵列图像具有高通量的特性,广泛应用于生物信息的研究中.微阵列图像的自动识别主要包括去除杂质噪声、网格定位、图像分割,还常包括倾斜图像的校正.现有的除噪方法主要有整体法、局部法、形态学滤波和小波变换.网格的自动定位主要是基于模版匹配或投影信号的信息,再利用图像的空间信息与像素强度进行分割,将图像的样点自动识别出来.分析了各部分不同算法的应用,并将其特点与结果加以综述.
미진렬도상구유고통량적특성,엄범응용우생물신식적연구중.미진렬도상적자동식별주요포괄거제잡질조성、망격정위、도상분할,환상포괄경사도상적교정.현유적제조방법주요유정체법、국부법、형태학려파화소파변환.망격적자동정위주요시기우모판필배혹투영신호적신식,재이용도상적공간신식여상소강도진행분할,장도상적양점자동식별출래.분석료각부분불동산법적응용,병장기특점여결과가이종술.
Due to their high-flux characteristic,microarray image thechniques are widely used in the study of bioinformatics in recent years.Automatic recognition of microarray images includes image denoising,grid mappins,segmentation,and in some cases,rotation correction.Currently used denoising methods include global approsch,local approach,morphological filtering,and wavelet mumformation.Aummafic grid mapping is based on template matching or projection profile.Signal segmentation is carried out using spatial and intensity information and recognition of the signals is realized automatically.The application of the different methods are presented and their features are summarized in this paper.