Microarray Image Segmentation Using Region Growing Algorithm and Mathematical Morphology

摘要：

Image processing is an important aspect of microarray experiments. Spots segmentation meaning to distinguish the spot signals from background pixels, is a critical step in microarray image processing. After analyzing other existing means of microarray segmentation, a new method based on region growing algorithm, mathematical morphology (MM) filtering and morphological processing is presented. And its corresponding theory and realizable steps are introduced in this paper. The simulations show that the region growing algorithm method for spot image segmentation has better performance than the most commonly used segmentation methods including the ScanAlizeTM method and GenePixTM method. The Experimental results are computationally attractive, have excellent performance and can preserve structural information while efficiently suppressing noise in cDNA microarray data.

关键词： mathematical morphology region growing algorithm microarray image segmentation Image processing

作者: Ping YE Guirong WENG

作者单位: School of Mechanical & Electrical Engineering Soochow University Suzhou,China

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 373-376

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）