Aircraft recognition in infrared image using wavelet moment invariants

Zhang, Feng; Shang-qian, Liu; Wang, Dabao; Guan, Wei

doi:10.1016/j.imavis.2008.08.007

Cited by 65 publications

(23 citation statements)

References 12 publications

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“…The important visual contents include colour feature, texture feature and shape feature. Amongst these features, shape is considered the best feature [50,55,30,56,57] due to its reliability on geometric measurement. Features such as colour and texture can be affected by the quality of an image.…”

Section: Input Imagementioning

confidence: 99%

An efficient image retrieval scheme for colour enhancement of embedded and distributed surveillance images

et al. 2016

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a b s t r a c tFrom the past few years, the size of the data grows exponentially with respect to volume, velocity, and dimensionality due to wide spread use of embedded and distributed surveillance cameras for security reasons. In this paper, we have proposed an integrated approach for biometric-based image retrieval and processing which addresses the two issues. The first issue is related to the poor visibility of the images produced by the embedded and distributed surveillance cameras, and the second issue is concerned with the effective image retrieval based on the user query. This paper addresses the first issue by proposing an integrated image enhancement approach based on contrast enhancement and colour balancing methods. The contrast enhancement method is used to improve the contrast, while the colour balancing method helps to achieve a balanced colour. Importantly, in the colour balancing method, a new process for colour cast adjustment is introduced which relies on statistical calculation. It adjusts the colour cast and maintains the luminance of the image. The integrated image enhancement approach is applied to the enhancement of low quality images produced by surveillance cameras. The paper addresses the second issue relating to image retrieval by proposing a content-based image retrieval approach. The approach is based on the three features extraction methods namely colour, texture and shape. Colour histogram is used to extract the colour features of an image. Gabor filter is used to extract the texture features and the moment invariant is used to extract the shape features of an image. The use of these three algorithms ensures that the proposed image retrieval approach produces results which are highly relevant to the content of an image query, by taking into account the three distinct features of the image and the similarity metrics based on Euclidean measure. In order to retrieve the most relevant images, the proposed approach also employs a set of fuzzy heuristics to improve the quality of the results further. The results show the proposed approaches perform better than the well-known existing approaches.

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Section: Input Imagementioning

confidence: 99%

An efficient image retrieval scheme for colour enhancement of embedded and distributed surveillance images

et al. 2016

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“…Aircraft targets have great value and always arouses much attention in image interpretation. There has been some effective methods of aircraft detection and recognition (F. Zhang, 2009) (G. Liu, 2013). But the related works based on SAR images are still limited.…”

Section: Introductionmentioning

confidence: 99%

Aircraft Segmentation in Sar Images Based on Improved Active Shape Model

Zhang

Xiong

Kuang

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:In SAR image interpretation, aircrafts are the important targets arousing much attention. However, it is far from easy to segment an aircraft from the background completely and precisely in SAR images. Because of the complex structure, different kinds of electromagnetic scattering take place on the aircraft surfaces. As a result, aircraft targets usually appear to be inhomogeneous and disconnected. It is a good idea to extract an aircraft target by the active shape model (ASM), since combination of the geometric information controls variations of the shape during the contour evolution. However, linear dimensionality reduction, used in classic ACM, makes the model rigid. It brings much trouble to segment different types of aircrafts. Aiming at this problem, an improved ACM based on ISOMAP is proposed in this paper. ISOMAP algorithm is used to extract the shape information of the training set and make the model flexible enough to deal with different aircrafts. The experiments based on real SAR data shows that the proposed method achieves obvious improvement in accuracy.

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“…At present, aircraft types recognition methods include: image matching, neural network recognition [1], invariant moment (or boundary moment) [2][3], Fourier descriptor [4][5] or geometric in-variants [6] .…”

Section: Introductionmentioning

confidence: 99%

Adaptive Weighted Morphology Tree Classifier for Aircraft Type Recognition

Liu¹,

Guo²

2017

Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

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Aircraft type recognition is a problem and key factor of safe docking of aircraft in airport auto-docking guide system. Based on adaptive weighted morphology tree classifier algorithm, it is approved for aircraft type recognition to solve the key issues to docking guide, useing image analysis and recognition technology to complete the type discrimination, so as to overcome the shortcomings of the aircraft in the whole range of berth travel and improve the speed and reliability of the search. According to the feature of target size and feature change during the process of aircraft movement, the adaptive weight morphological algorithm extracts the invariant features, which can solve the problem of feature transform of aircraft type recognition. The experimental results indicate that the effectiveness of the current recognition system is given. The system provides a good performance in aircraft recognition and offers better robustness against noise and poor image quality, which can satisfy the auto-docking system requirements of high precision, rapid speed and stabilization.

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Aircraft recognition in infrared image using wavelet moment invariants

Cited by 65 publications

References 12 publications

An efficient image retrieval scheme for colour enhancement of embedded and distributed surveillance images

An efficient image retrieval scheme for colour enhancement of embedded and distributed surveillance images

Aircraft Segmentation in Sar Images Based on Improved Active Shape Model

Adaptive Weighted Morphology Tree Classifier for Aircraft Type Recognition

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