We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between different observations derived from a single face. Specifically, the use of color as a complementary observation to local, grayscale-based features is investigated. This is done by means of new generative models, combining...

Usually, optical flow computation is based on grayscale images and the brightness conservation assumption. Recently, some authors have investigated in transferring gradient-based grayscale optical flow methods to color images. These color optical flow methods are restricted to brightness and color conservation over time. In this paper, a correlation-based color optical flow method is presented ...

Grayscale morphology is a powerful tool in image, video, and visual applications. A reconfigurable processor proposed for grayscale image morphological processing. The architecture of the combination processing module (RGPM) peripheral circuits. RGPM, which consists four computing units, conducts operations implements related algorithms more than 100 f/s 1024 × image. periphery circuits control...

Although retinal vessel segmentation has been extensively researched, a robust and time efficient segmentation method is highly needed. This paper presents a local adaptive thresholding technique based on gray level cooccurrence matrix- (GLCM-) energy information for retinal vessel segmentation. Different thresholds were computed using GLCM-energy information. An experimental evaluation on DRIV...

This paper proposes a Genetic Algorithm based segmentation method that can automatically segment gray-scale images. The proposed method mainly consists of spatial unsupervised grayscale image segmentation that divides an image into regions. The aim of this algorithm is to produce precise segmentation of images using intensity information along with neighborhood relationships. In this paper, Fuz...

Image matching is the primary and important process which is mainly used in target tracking, space exploration, 3D reconstruction, modification identification. The existing system is utilizes the Scale Invariant Feature Transform (SIFT) is used to identifying corresponding points becomes difficult in the case of changing illumination or two surfaces with a similar intensity. Image retrieval ref...

We present a robust approach to perform 3D nonrigid image registration suitable for large deformation and topology change, and develop a software package named DTHB3D Reg (Dynamic Truncated Hierarchical B-spline based 3D Image Registration). The optimum spatial transformation, defined using truncated hierarchical B-splines, is obtained through the minimization of an energy functional. The optim...