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This paper presents a Localized Ridgelet Transform(LRT) to detect ship wakes in Synthetic Aperture Radar (SAR) images. The key element of this technique is a localization of the ridgelet transform, whereby the intensity integration is performed in small windows rather than across the entire image. In this algorithm, the transform space is subjected to processing which server to isolate and locate...
With the wide use of digital image processing software, it is easier to edit images. Digital image forensic technology is becoming vitally necessary to identify the content authenticity. Although numbers of detection algorithms have been proposed in the past years, there is not a perfect solution for detecting multi-operation problems. However, multi-operation in image editing process is more practical,...
To overcome the limitations for traditional manual meter-reading and poor suitability of modern meter-reading system regarding electric energy metering, a portable automatic ammeter reading system is put forward based on digit recognition algorithm. With the numerical recognition of images from dial plate as its core, this system accomplish the recognition of user code and electricity numbers before...
Detection of local feature covariant region is a new technology of image contents and image semantic representations, and it has become an important foundation of the image recognition, learning and understanding. First, a Laplace of Gaussian corner detection method is proposed based on edge contour curves, in the meantime, a new local feature descriptor, named covariant support region, is introduced...
A fingerprint classification algorithm is proposed in this paper. It is based on the features extracted from the directional field of the fingerprint image. To improve the accuracy of the directional field, an efficient estimation approach is developed. Based on the improved directional field, the singular points and the relative features are extracted to generate the input features of the fingerprint...
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