Title :
An Algorithm of Dim and Small Target Detection Based on Wavelet Transform and Image Fusion
Author :
Jie Zhao ; Fuxiang Liu ; Bo Mo
Author_Institution :
Aerosp. Inst., Beijing Inst. of Technol., Beijing, China
Abstract :
According to the needs of dim and small target detection, a new detection algorithm based on wavelet transform and image fusion is put forward in the paper. In this algorithm, firstly, the original image is decomposed and reconstructed by wavelet and it is separated into a low frequency image and some high frequency images., secondly, the low frequency image is removed and the high frequency images are fused into a new image , finally, the fused image is segmented with threshold and the target is detected and signed. After the flight test validation, this algorithm has better accuracy and stability.
Keywords :
image fusion; image reconstruction; image segmentation; object detection; wavelet transforms; dim target detection; flight test validation; high frequency images; image dcomposition; image fusion; image reconstruction; image segmentation; low frequency image; small target detection; wavelet transform; Image fusion; Image segmentation; Noise; Object detection; Wavelet analysis; Wavelet transforms; dim and small target; target detection; wavelet transform; image fusion;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.162