Extraction of spots in biological images using multiscale products
Extraction of spots in biological images using multiscale products
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DOI：
10.1016/s0031-3203(01)00127-3
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发表时间：
2002-09-01
影响因子：
8
通讯作者：
Olivo-Marin, JC
中科院分区：
文献类型：
--
作者：
Olivo-Marin, JC
提出了一种新的方法来检测和计数来自生物免疫显微镜实验的荧光图像中的亮点。它是基于多尺度积的子带图像产生的一个槽小波变换分解的原始图像，阈值后的非重要系数。滤波后的小波系数的多尺度相关性，它允许增强多尺度峰值由于斑点，同时降低噪声，结合来自不同级别的分辨率的信息，并给出了一个清晰和独特的chacterization的斑点。典型的免疫荧光图像的分析结果。(C)2002模式识别学会。由爱思唯尔科技有限公司出版。保留所有权利。
We present a new method to detect and count bright spots in fluorescence images coming from biological immunomicroscopy experiments. It is based on the multiscale product of subband images resulting from the a trous wavelet transform decomposition of the original image, after thresholding of non-significant coefficients. The multiscale correlation of the filtered wavelet coefficients, which allows to enhance multiscale peaks due to spots while reducing noise, combines information coming from different levels of resolution and gives a clear and distinctive chacterization of the spots. Results are presented for the analysis of typical immunofluorescence images. (C) 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.