The classification of erythrocyte plays an important role in clinic diagnosis. In terms of the fact that the shape deformability of red blood cell brings more difficulty in detecting and recognize for operating automatically, we believed that the recovered 3D shape surface feature would give more information than traditional 2D intensity image processing methods. This paper proposed a combined ...

This paper describes the implementation of the real time local image contrast enhancement method. The system is based on Virtex FPGA chip and enhances the angiocardiographic data using the modified mathematical morphology multiscale TopHat transform. The morphological TopHat transform proved its effectiveness but the direct real time pipeline implementation of the multiscale version requires to...

Title of dissertation: MULTISCALE PROBLEMS ON COLLECTIVE DYNAMICS AND IMAGE PROCESSING: THEORY, ANALYSIS AND NUMERICS Changhui Tan, Doctor of Philosophy, 2014 Dissertation directed by: Professor Eitan Tadmor Department of Mathematics Institute for Physical Science & Technology Center for Scientific Computation and Mathematical Modeling Multi-scale problems appear in many contexts. In this thesi...

We present a new technique for image contrast enhancement via multiscale gradient transformation. In contrast to histogram-based techniques which aim to change the global statistical distribution of pixel intensities, we improve image contrast by modifying the modulus of the gradient image at multiple scales. In computation, a multiscale gradient representation of the image is generated by a wa...

In this paper we describe a method we developed for selective detection and enhancement of image feature patterns. A set of directional basis filters were designed to detect the image features of interest, and a steerable pyramid transform [1,2] is used to generate a multiscale representation of the image features that has desirable shift and rotation invariance. By analyzing and selectively pr...

In this paper, a new multispectral image wavelet representation is introduced, based on multiscale fundamental forms. This representation describes gradient information of multispectral images in a multiresolution framework. The representation is in particular extremely suited for the fusion and merging of multispectral images. For fusion as well as for merging, a strategy is described. Experim...

Image registration is one important task in many image processing applications. It aims to align two or more images so that useful information can be extracted through comparison, combination or superposition. This is achieved by constructing an optimal transformation which ensures that the template image becomes similar to a given reference image. Although many models exist, designing a model ...

In this paper, a digital halftoning method is proposed to di use error with a more symmetric error distribution by making use of the concept of multiscale error di usion. It can improve the di usion performance by e ectively reducing directional hysteresis. The di usion is roworiented rather than frame-oriented and hence can reduce the latency and a lot of computation e ort as compared with con...

This paper describes a new transform to extract image regions at all geometric and photometric scales. It is argued that linear approaches such as convolution and matching have the fundamental shortcoming that they require a priori models of region shape. The proposed transform avoids this limitation by letting the structure emerge, bottom-up, from interactions among pixels, in analogy with sta...