闫书佳，女，讲师，工学博士，毕业于同济大学检测技术与自动化装置专业。从事图像处理与模式识别在输电线路中应用的研究，参与国家自然科学基金项目1项、国家电网项目1项、深圳电网公司院项目1项，发表相关论文5篇，其中EI收录4篇。

近三年研究成果

[1]金立军, 闫书佳, 刘源. 基于类Haar特征与级联AdaBoost算法的防震锤识别. 系统仿真学报, 2012, vol.24(9):1806-1809.

[2]Yan shujia, Jin Lijun. Research on fault diagnosis of transmission line based on SIFT feature. Lecture Notes in Computer Science, 2013, vol.7952 LNCS(Part2):569-577. (EI: 20133116565497)

[3]Yan Shujia，Jin Lijun， Duan Shaohui，Zhao Ling，Yao Chunyu，Zhang Wenhao. Power Line Image Segmentation and Extra Matter Recognition based on Improved Otsu Algorithm. 2nd International Conference on Electric Power Equipment 2013. (EI: 20142117737983)

[4]Yan Shujia，Jin Lijun， Duan Shaohui，Zhao Ling，Hu Juan，Zhang Wenhao. A Fault Diagnosis of Transmission Line Spacers Based on Visible-light Images. 2nd International Conference on Electric Power Equipment 2013. (EI: 20142117737940)

联系方式：

67791127，yanshujia2012@163.com

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