Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...

We are concerned with the extraction of effective color features for a content-based image retrieval (CBIR) application in dermatology. Effectiveness is measured by he rate of correct retrieval of images from four color classes of skin lesions. We employ and compare two different methods: Limited Rank Matrix Learning Vector Quantization (LiRaM LVQ) and a Large Margin Nearest Neighbor (LMNN) app...

Color image demosaicing consists in recovering full resolution color information from color-filter-array (CFA) samples with 66.7% amount of missing data. Most of the existing color demosaicing methods [14, 25, 16, 2, 26] are based on interpolation from inter-channel correlation and local geometry, which are not robust to highly saturated color images with small geometric features. In this paper...

The ability to characterize the color content of natural imagery is an important application of image processing. The pixel by pixel coloring of images may be viewed naturally as points in color space, and the inherent structure and distribution of these points affords a quantization, through clustering, of the color information in the image. In this paper, we present a novel topologically driv...

This paper proposes color local binary pattern and fractional Fourier Transform features for face recognition. The YCbCr Color space model is used in this approach. Fractional Fourier Transform features and local binary pattern features are used for face recognition. kNN classifier is applied to face recognition phase.

Textural features are applied for detection of morphological pathologies of vocal cords. Cooccurrence matrices as statistical features are presented as well as filter bank analysis by Gabor filters. Both methods are extended to handle color images. Their robustness against camera movement and vibration of vocal cords is evaluated. Classification results due to three in vivo sequences are in bet...

For the last two decades, several Computer-Aided Diagnosis (CAD) systems have been developed with the aim of aiding dermatologists to classify Pigmented Skin Lesions (PSL). The majority of these systems usually rely on shape-, colorand texture-based features to classify the lesions. Even though some systems have already achieved good results, the ideal set of features, to be extracted from the ...