RATIONALE AND OBJECTIVES To improve the conspicuity of bladder tumors in a virtual environment, we developed an algorithm for color mapping the thickness of the bladder wall. The purpose of this study was to demonstrate the feasibility of this algorithm as a component of virtual CT cystoscopy. METHODS Five subjects with a history of superficial transitional-cell carcinoma of the bladder under...

Soybean seed coat exists in a range of colors from yellow, green, brown, black, to bicolor. Classical genetic analysis suggested that soybean seed color was a moderately complex trait controlled by multi-loci. However, only a couple of loci could be detected using a single biparental segregating population. In this study, a combination of association mapping and bulk segregation analysis was em...

Colorization of gray-scale images relies on prior color information. Exemplar-based methods use a color image as source of such information. Then the colors of the source image are transferred to the gray-scale target image. In the literature, this transfer is mainly guided by texture descriptors. Face images usually contain few texture so that the common approaches frequently fail. In this pap...

We addressed the problem of recovering or “rejuvenating” colors in a faded tapestry (the target image) by automatically mapping colors from digital images of the reference painting or cartoon (the source image). We divided the overall computational challenge into several subproblems, and implemented their solutions in Matlab: 1) quantizing the colors in both the tapestry and the referent painti...

Color display calibration, in part, involves mapping input RGB values to corresponding output values in a standardized color space such as CIE XYZ. A linear model for RGB-to-XYZ mapping is based on a 3-by-3 linear transformation matrix T mapping data from (linearized) RGB to XYZ. Such a mapping is often determined by least squares regression on the difference between predicted and measured XYZ ...

In camera-based object recognition and classification, surface color is one of the most important characteristics. However, apparent object color may differ significantly according to the illumination and surface conditions. Such a variation can be an obstacle in utilizing color features. Geusebroek et al.’s color invariants can be a powerful tool for characterizing the object color regardless ...

Effective visualization of uncertainty associated with data has many applications in science and engineering. Visualization of a 3D scalar data set that displays detailed variations in uncertainty as well as in data is a challenging problem. We explore a novel approach to address the problem using High Dynamic Range (HDR) image maps. We use a transfer function that maps each data point to a col...

We present a method to perform histogram matching between two color images based on the concept of harmonic mapping between Riemannian manifolds. The key idea is to associate the histogram of a color image to a Riemannian manifold. In this context, the energy of the matching between the two images is measured by the Dirichlet energy of the mapping between the Riemannian manifolds. Then, we assi...

In camera-based object recognition and classification, surface color is one of the most important characteristics. However, apparent object color may differ significantly according to the illumination and surface conditions. Such a variation can be an obstacle in utilizing color features. Geusebroek et al.’s color invariants can be a powerful tool for characterizing the object color regardless ...

of the reproduction’s. Therefore, if the lightness values of the maximum chroma in the two gamuts are not located at the center of the lightness axis of the two media, the parametric GMA will produce a different color change in the bright and dark regions. In this condition, if linear compression or soft-clipping compression is applied to the lightness mapping, the lightness value difference be...