Results 191 to 200 of about 8,378,989 (251)
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IEEE International Conference on Computer Vision, 2021
In recent years, the growing utilization of medical imaging is placing an increasing burden on radiologists. Deep learning provides a promising solution for automatic medical image analysis and clinical decision support.
Shih-Cheng Huang +3 more
semanticscholar +1 more source
In recent years, the growing utilization of medical imaging is placing an increasing burden on radiologists. Deep learning provides a promising solution for automatic medical image analysis and clinical decision support.
Shih-Cheng Huang +3 more
semanticscholar +1 more source
Measurement science and technology, 2019
Traditional methods used for intelligent condition monitoring and diagnosis significantly depend on manual feature extraction and selection. To address this issue, a transfer learning-convolutional neural network (TLCNN) based on AlexNet is proposed for ...
Ping Ma +5 more
semanticscholar +1 more source
Traditional methods used for intelligent condition monitoring and diagnosis significantly depend on manual feature extraction and selection. To address this issue, a transfer learning-convolutional neural network (TLCNN) based on AlexNet is proposed for ...
Ping Ma +5 more
semanticscholar +1 more source
Nonredundant image representations
Proceedings of International Conference on Image Processing, 2002We consider the problem of sending raw image data over lossy or heterogeneous network connections with as little overhead as possible. If the network connection does not support multiple priority levels and the network drops packets at random, a technique is needed where the data would be divided into parts of equal importance, so that the image could ...
F.M.L. Ng, J. Kovacevic
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Pattern Recognition, 2019
In this paper, we present a new set of fractional-order orthogonal moments, named Fractional-order Chebyshev Moments (FCM). We initially introduce the necessary relations and properties to define the FCM in the Cartesian coordinates. Then, we provide the
Rachid Benouini +5 more
semanticscholar +1 more source
In this paper, we present a new set of fractional-order orthogonal moments, named Fractional-order Chebyshev Moments (FCM). We initially introduce the necessary relations and properties to define the FCM in the Cartesian coordinates. Then, we provide the
Rachid Benouini +5 more
semanticscholar +1 more source
New set of multi-channel orthogonal moments for color image representation and recognition
Pattern Recognition, 2019Orthogonal moments and their invariants to similarity transformations for monochrome and gray-scale images are widely used in many pattern recognition and image processing applications. Quaternion orthogonal moments are used with color images.
Khalid M. Hosny, M. M. Darwish
semanticscholar +1 more source
2020
In this chapter, mainstream QIRs are reviewed and classified into three models based on different requirements to capture the content of an image. They are thoroughly compared in terms of their color information encoding strategies, computational complexities of preparation, and measurement-based retrievals.
Fei Yan, Salvador E. Venegas-Andraca
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In this chapter, mainstream QIRs are reviewed and classified into three models based on different requirements to capture the content of an image. They are thoroughly compared in terms of their color information encoding strategies, computational complexities of preparation, and measurement-based retrievals.
Fei Yan, Salvador E. Venegas-Andraca
openaire +1 more source
Multilayered image representation: application to image compression
IEEE Transactions on Image Processing, 2002The main contribution of this work is a new paradigm for image representation and image compression. We describe a new multilayered representation technique for images. An image is parsed into a superposition of coherent layers: piecewise smooth regions layer, textures layer, etc.
François G, Meyer +2 more
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Region based five-axis tool path generation for freeform surface machining via image representation
Robotics and Computer-Integrated Manufacturing, 2019This paper inaugurates a brand new five-axis tool path generation method for freeform surface machining, which is solely based on digital image processing.
Ke Xu, Yingguang Li
semanticscholar +1 more source
Image Representations for Visual Learning
Science, 1996Computer vision researchers are developing new approaches to object recognition and detection that are based almost directly on images and avoid the use of intermediate three-dimensional models. Many of these techniques depend on a representation of images that induces a linear vector space structure and in principle requires dense feature ...
D, Beymer, T, Poggio
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A representation for mammographic image processing
Medical Image Analysis, 1995Mammographic image analysis is typically performed using standard, general-purpose algorithms. We note the dangers of this approach and show that an alternative physics-model-based approach can be developed to calibrate the mammographic imaging process. This enables us to obtain, at each pixel, a quantitative measure of the breast tissue.
R, Highnam, M, Brady, B, Shepstone
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