小波变换在钙火花图像滤噪处理中的应用研究  

Application Study of Wavelet Transform in Calcium Sparks Image De-noising

作　　者：雷长海[1] 马志强[2] 汤莹[3] 孙巍巍[1] 杨勇骥[3] 

机构地区：[1]第二军医大学基础部,上海200433 [2]同济大学第一附属中学,上海200433 [3]第二军医大学生物物理研究所,上海200433

出　　处：《医疗卫生装备》2009年第2期11-12,20,共3页Chinese Medical Equipment Journal

基　　金：国家自然科学基金项目(39970359;30170253);全军医药卫生科研基金项目(06MB202)

摘　　要：目的:在用激光扫描共聚焦显微镜研究肌兴奋收缩偶联时,肌浆网中的钙释放(即钙火花)现象中,图像噪声的存在使图像信噪比下降,直接导致钙火花图像的某些特征细节淹没在图像噪声中而难以被辨识,进而影响对钙火花图像的识别、分析和分类,因此,减少噪声对图像的影响成了钙火花研究工作的关键。方法:依据小波变换算法(Wavelet Transform,WT),自研软件对捕获到的钙火花图像进行分析及滤噪处理。结果:对实验获得的80余幅钙火花图像进行滤噪处理,获得了很好的效果,均可以较理想地去除噪声,增强了钙火花图像的信噪比。结论:该研究方法明显提高了钙火花检测结果的直观性,进而可以更清晰地分析研究钙火花的形态参数。Objective To study on wavelet transform in calcium sparks image de-noising when excitation contraction coupling（ECC） was studied and researched by scanning eonfoeal microscopy, in order to elucidate the mechanism of ECC. But due to the noise exist in most calcium sparks image, it is hardly to recognize and analyze the useful information of calcium sparks. So how to increase the signal-to-noise rate is very important in calcium spark studying. Methods By using the self- developed software based on multi-scale wavelet transform to remove the noise exists in the calcium sparks images. Results The experiments shows that the method can be increased the signal-to-noise rate in about 80 calcium sparks images. Conclusion The new method for calcium spark expression and spatial and temporal analysis is provided.

关 键 词：小波变换 钙火花 激光扫描共聚焦显微镜 图像滤噪 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]