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We present a new method for adding furry effects for cartoon characters in images and videos. We synthesize furry stylized textures based on 3D texel structure. Given an image or a video as input, realistic fur texels are generated and mapped onto the region of interest(ROI) which is obtained using the Snake method. The 3D texels are rendered using ray marching algorithm on GPU for fast synthesizing...
Palmprint identification/verification is becoming increasingly popularity in recent years. The fundamental step in palmprint based biometric authentication system is in locating the region of interest (ROI) in palmprint images. In this paper, we propose a novel three stage process of palmprint verification. Stage one involves a new method of locating and segmenting the ROI of palmprint images and...
This paper provides a web content-based image searching engine based on SIFT (Scale Invariant Feature Transform) feature matching. SIFT descriptors, which are invariant to image scaling and transformation and rotation, and partially invariant to illumination changes and affine, present the local features of an image. Therefore, feature keypoints can be extracted more accurately by using SIFT than...
In this paper, we propose a new multi-resolution fusion algorithm for spatially registered multi-sensor images fusion. First, we use a modified watershed algorithm to produce a region map of source images. This segmentation is then used to generate region-based decision map, which is obtained based on local texture features in the dual-tree discrete wavelet transform domain. The region-based decision...
In modern driver assistance systems the environment perception plays a decisive role in order to evaluate the current traffic scene. The reliable recognition of the drivable area provides essential information for lane departure warning systems which in turn contribute to active road safety. Most systems on lane recognition do reliable work on well marked roads and under good weather and lighting...
In this paper, we propose a new method to extract object contour in a given gray-level image, whose foreground and background are statistically homogeneous and different. Firstly, the image for contour extraction is decomposed by discrete wavelet transform, and the high-pass and low-pass components are used to form intensity and texture energy respectively. Secondly, a minimal partition function,...
In the recent past, the recognition and localization of objects based on local point features has become a widely accepted and utilized method. Among the most popular features are currently the SIFT features, the more recent SURF features, and region-based features such as the MSER. For time-critical application of object recognition and localization systems operating on such features, the SIFT features...
A combined texture- and color-based skin detection is proposed in this paper. Nonsubsampled contourlet transform is used to represent texture of the whole image. Local neighbor contourlet coefficients of a pixel are used as feature vectors to classify each pixel. Dimensionality reduction is addressed through principal component analysis (PCA) to remedy the curse of dimensionality in the training phase...
The aim of this paper is to apply distance transform on curved space (DTOCS) to grayscale images of human tissue samples. Also a new approximated path DTOCS (APDTOCS), which approximates distances on curved space using only the end points of the paths, is proposed. APDTOCS reveals more detail than standard DTOCS especially in parts of the image where the texture is complex and has a lot of small details...
In this paper, we present a novel algorithm for robust audio watermarking in image using wavelet transform based on an image entropy. The motivation of choosing image as a cover is driven by the fact that human visual system is less sensitive than human auditory system thus an image provides better masking effect. The algorithm is based on decomposition of images using Daubechies wavelet basis. The...
A new retrieval algorithm based on the energy and entropy of multiwavelets is presented. Firstly, the retrieval image is decomposed by the multiwavelets transform. Secondly, the 0/1 quantization is used to deal with the energy matrix of sub image of multiwavelets decomposition. The multiwavelets entropy and energy of image is computed as the texture feature of image. The Gaussian model is used to...
A pixel-level fusion approach is proposed to refine the resolution of urban multi-spectral images using the corresponding high-resolution panchromatic images. After the two images are decomposed by wavelet transform, three texture features are extracted from high-frequency detailed sub-images. Then a fuzzy fusion rule is used to merge wavelet coefficients from the two images according to the extracted...
Detection of skin pixels in arbitrary images is addressed in this paper. We have combined texture and color information to segment skin regions. First, a pixel-based boosted skin detection method is used to locate skin pixels. To further improve the detect performance, skin region texture features are employed using the non-subsampled contourlet coefficients. For the candidate skin pixels, the set...
Effective texture feature is an essential component in any content based image retrieval system. In the past, spectral features, like Gabor and wavelet, have shown superior retrieval performance than many other statistical and structural based features. Recent researches on multi-resolution analysis have found that curvelet captures texture properties, like curves, lines, and edges, more accurately...
In this paper, a method for texture retrieval based on scale and rotation invariant directional empirical mode decomposition (SRIDEMD) is presented. Different from other filtering based techniques such as wavelet and Gabor decomposition, EMD uses the nonlinear filtering process called 'sifting' which attains its scalead aptivity and obtained intrinsic mode functions (IMFs) which has approximate orthogonality...
For error masking in the static images, it is good to know image classification. Having an effective classificator, we should achieve selecting a method good enough for restoration of missing image segments. It is very important especially for texture images. Common methods usually fail in these cases. It is necessary to select the method, which is dedicated for synthesizing an image or for inpainting...
This work presents a fast algorithm, namely 2-D symmetric mask-based discrete wavelet transform (SMDWT), to address some critical issues of the 2-D discrete wavelet transform (DWT). Unlike the traditional DWT involving dependent decompositions, the SMDWT itself is subband processing independent, which can significantly reduce complexity. Moreover, DWT cannot directly obtain target subbands, which...
In this paper, we proposed a new non blind robust digital watermarking algorithm for embedding binary image watermark in grayscale images. For embedding procedure, three levels discrete wavelet transform of cover image is computed. Afterward the watermark image is added in the high-high (HH), low-high (LH) and high-low (HL) subbands using a threshold coefficients. The low-low (LL) subband coefficients...
The traditional Gabor transform need calculate convolution with whole image when extract expression feature. So, the feature dimensions are very large and computation complexity is very high. Though some improved methods can reduce the feature dimensions and computing cost by manually marking out the feature points, but those methods need intense human intervention and can not meet to the need of...
This paper presents a personal identification method based on iris. The method includes three steps. In the first one, the eye image is processed in order to obtain a segmented and normalized eye image. This is done by projection profiles, Hough transform and polar transformation. In the second step, the iris image is analyzed by a set of 16 Gabor filters. A signature vector composed of 96 features...
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