Feature extraction plays an important role in face recognition. Based on local binary patterns (LBP), we propose a novel face representation method which obtains histograms of semantic pixel sets based LBP (spsLBP) with a robust code voting (rcv). By clustering according the semantic pixel relations before the histogram estimation, the spsLBP makes better use of the spatial information over the...

Experience suggests the existence of a connection between the contrast of a grayscale image and the gradient magnitude of intensity edges in the neighborhood where the contrast is measured. This observation motivates the development of edge-based contrast enhancement techniques. In this paper, we present a simple and e ective method for image contrast enhancement based on the multiscale edge re...

We propose a new grayscale image denoiser, dubbed as Neural Affine Image Denoiser (Neural AIDE), which utilizes neural network in a novel way. Unlike other neural network based image denoising methods, which typically apply simple supervised learning to learn a mapping from a noisy patch to a clean patch, we formulate to train a neural network to learn an affine mapping that gets applied to a n...

Figures submitted electronically as separate PostScript files containing color usually appear in color in the online journal. However, all figures will appear as grayscale images in the printed journal unless the color figure authorization form has been received and you have agreed to pay the necessary charges. For figures that will be color online but grayscale in print, please insure that the...

Color information is usually discarded when converting a color image into a grayscale image. However, it is sometimes desirable to reflect chrominance change where luminance contrast is not obvious. Inspired by tone mapping technique, this paper proposes a similar method for color to grayscale conversion, which in addition takes into account the local chrominance changes. The result shows great...

The focus of this work is on the problem of feature extraction for vehicle detection. Feature extraction is a key point of pattern recognition. In particular, we propose using improved wavelet feature extraction approaches based on HSV space for rear-vehicle detection. Wavelet features are attractive for vehicle detection because they form a compact representation, encode edges, capture informa...

To reduce the influence of the eyelid for the iris recognition rate, an eyelid detection algorithm for the iris recognition is proposed. The grayscale morphological operations are employed to remove the interference of the eyelash and the light spot to the eyelid region. The points of the minimum grayscale value of each column in the eyelid region are extracted as edge points. The least squares...

This paper introduces a methodology for adding color to grayscale images in a way that is completely automatic. Towards this goal, we build on a technique that was recently developed to transfer colors from a user-selected source image to a target grayscale image. More specifically, in order to eliminate the need for manual selection of the source image, we use content-based image retrieval met...

Fig. 2. Young’s modulus for compressive loading along the bone’s main loading direction computed from downsampled data versus that computed at high-resolution for both grayscale and binarized images. Fig. 3. Minimum, maximum, and mean convergence parameter as a function of iteration number for 28 in-vivo image datasets from the distal tibial metaphysis. Efficient Mechanical Bone Parameter Estim...

We present a variational approach to the problem of registering planar shapes despite missing parts. Registration is achieved through the evolution of a partial differential equation that simultaneously estimates the shape of the missing region, the underlying “complete shape” and the collection of group elements (Euclidean or affine) corresponding to the registration. Our technique applies bot...