Small target detection using bilateral filter and temporal cross product in infrared images

Bae, Tae-Wuk

doi:10.1016/j.infrared.2011.06.006

Cited by 94 publications

(43 citation statements)

References 16 publications

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“…As a key technology of infrared imaging system, infrared small target detection has been paid more and more attention in recent years [1][2][3][4][5]. On the one hand, Due to long imaging distance, targets occupy only a few pixels in the infrared images.…”

Section: Introductionmentioning

confidence: 99%

Infrared small target detection based on directional zero-crossing measure

Zhang

Ding

Luo

et al. 2017

Infrared Physics & Technology

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Section: Introductionmentioning

confidence: 99%

Infrared small target detection based on directional zero-crossing measure

Zhang

Ding

Luo

et al. 2017

Infrared Physics & Technology

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“…10,11 Unfortunately, edges are easy to be smoothed out in the process of filtering. Some methods dedicate to detect the direction of edges and use it to accomplish background estimation.…”

Section: Introductionmentioning

confidence: 99%

Small target detection using edge-preserving background estimation based on maximum patch similarity

Wang

Yue

et al. 2017

International Journal of Advanced Robotic Systems

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Infrared small target detection is widely applied in lots of practical applications, but due to the complicated edges in practical scenarios, most existing detection algorithms usually lead to many false alarms and cannot detect the target accurately. Addressing this problem, a novel edge-preserving background estimation method based on maximum patch similarity was proposed in this article. At first, we will propose an improved local adaptive contrast measure to suppress the pixel-size electronic noises. Then, maximum patch similarity with minimum improved local adaptive contrast measure can be utilized to preserve the edge in the estimated background. Finally, we can obtain target image by filtering the background image from original image and use adaptive threshold segmentation to detect the small target in our target image. It is shown from experiments that our proposed method has better detection results in diverse infrared images, improving signal-to-clutter ratio gain and background suppression factor of the images significantly and efficiently.

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“…Since the development of IR-guided missiles, various IR small target detection methods, such as the spatial filter-based method [8]- [10], morphology-based method [11], and temporal-based method [12]- [13] In IR images, objects with different IR radiation normally appear in the form of different changes in gray values. To describe the change in gray values on different objects more clearly, the concept of a "complex degree" was presented [14]- [15].…”

Section: Introductionmentioning

confidence: 99%

Infrared Target Extraction Using Weighted Information Entropy and Adaptive Opening Filter

Bae¹,

Kim²,

Kim³

et al. 2015

ETRI J

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In infrared (IR) images, near targets have a transient distribution at the boundary region, as opposed to a steady one at the inner region. Based on this fact, this paper proposes a novel IR target extraction method that uses both a weighted information entropy (WIE) and an adaptive opening filter to extract near finely shaped targets in IR images. Firstly, the boundary region of a target is detected using a local variance WIE of an original image. Next, a coarse target region is estimated via a labeling process used on the boundary region of the target. From the estimated coarse target region, a fine target shape is extracted by means of an opening filter having an adaptive structure element. The size of the structure element is decided in accordance with the width information of the target boundary and mean WIE values of windows of varying size. Our experimental results show that the proposed method obtains a better extraction performance than existing algorithms.

show abstract

Small target detection using bilateral filter and temporal cross product in infrared images

Cited by 94 publications

References 16 publications

Infrared small target detection based on directional zero-crossing measure

Infrared small target detection based on directional zero-crossing measure

Small target detection using edge-preserving background estimation based on maximum patch similarity

Infrared Target Extraction Using Weighted Information Entropy and Adaptive Opening Filter

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