基于能量特征的图像目标检测

Because of theinformation and the energy distribution difference between targets and background inwavelet field after multiscale decomposing, the energy feature is chosen as one of thedetection basis in this paper. It doesn't change with the direction of background texture,the varity of rotation and the shift of targets. The results of experiments prove thatthis method has relatively adaptability.

参考文献

[1] 朱长青. 小波分析理论与影像分析[M]. 北京：测绘出版社，1998.

[2] 赵松年，熊小芸. 子波变换与子波分析[M]，北京：电子工业出版社，1996.

[3] 王润生. 图像理解[M]. 长沙：国防科技大学出版社，1994.

[4] 张继贤，柳健. 基于能量分解的影像纹理多尺度分析[J]. 电子学报, 1997, 25(12):15～20.

[5] Robin N Strickland. Wavelet transform methods for object detection and recovery[J]. IEEE Trans. Image Processing, 1997, 6.

[6] . Fractal images models and object detection[J]. SPIE, 1987, 845: 293-300.

[7] . Fractal|based description of natural scenes[J]. IEEE Trans. On Pattern Analysis and Machine Intelligence, 1984, 6(6): 661-674.

[8] Stein M C. Fractal image models and object detection[J]. Visual Communication and Image Processing Ⅱ, SPIE 1987, 845.

陈晓钟, 孙华燕. 基于能量特征的图像目标检测[J]. 红外与激光工程, 2001, 30(1): 30. 陈晓钟, 孙华燕. Image targets detection based on the energy feature[J]. Infrared and Laser Engineering, 2001, 30(1): 30.

基于能量特征的图像目标检测

关于本站 Cookie 的使用提示

全站搜索

基于能量特征的图像目标检测

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索