کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10359510 | 869292 | 2005 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Effective automatic recognition of cultured cells in bright field images using fisher's linear discriminant preprocessing
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
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چکیده انگلیسی
Automatic cell recognition in bright field microscopy is an inherently difficult task due to the immense variability of cell appearance. Yet, it is essential for a high-throughput robotic system. In this paper, we employed a pixel patch decomposition method to detect cultured cells in bright field images. To increase the classification accuracy, we proposed a novel Fisher's Linear Discriminant (FLD) preprocessing approach. This technique was applied to various experimental scenarios utilizing different imaging environments and the results were compared with those for the traditional Principal Component Analysis (PCA) preprocessing. Our FLD preprocessing was shown to be more effective than PCA primarily owing to its ability to maximize the ratio of between-class scatter to within-class scatter. The optimized algorithm has sufficient accuracy and speed for practical use in robotic systems capable of automatic micromanipulation of single cells.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Image and Vision Computing - Volume 23, Issue 13, 29 November 2005, Pages 1203-1213
Journal: Image and Vision Computing - Volume 23, Issue 13, 29 November 2005, Pages 1203-1213
نویسندگان
Xi Long, W. Louis Cleveland, Y. Lawrence Yao,