An Analysis of Hybrid FIR Structures in Applications to Ultrasound Image Processing
نویسندگان
چکیده
In this paper, we analyze and develop hybrid finite impulse response (FIR) structures in applications to image enhancing. Three particular hybrid structures are observed: the FIR median hybrid (FMH), the moving average hybrid (MAH), and the smoothing FIR hybrid (FSH). All these structures have been developed for preserving a sharp edge and enhancing ultrasound images. It is shown that, among others, the FSH structure has a better performance in terms of the minimum mean square error and maximum signal-to-noise ratio in the enhanced image. Key-Words: FIR Structures, Ultrasound Images
منابع مشابه
Smoothing of Ultrasound Images with the p-lag FIR Structures
An analysis is given of the specific points of the noise power gain of the p-lag median hybrid FIR filters in applications to ultrasound image processing. An important feature of such a gain is that, at some cross points, it converges to the reduced degree one. The effect of smoothing is evaluated in terms of the signal-to-noise ratio and root mean square error metrics. We show that image enhan...
متن کامل18th International Conference on Electronics, Communications and Computers, CONIELECOMP 2008, Cholula, Puebla, Mexico, March 3-5, 2008
— In this work, we present a novel technique for ultrasound image processing (2D signals). The Moving Average Hybrid FIR filter (MAH-FIR) which it work with two different FIR filter, the Moving Average (MA) and Median Hybrid (FMH) filters. We experimented with continuous linear regression function and Lagrange multiplier to obtain the approximation of the MA-FIR and FMH-FIR filters, respectivel...
متن کاملSegmentation Assisted Object Distinction for Direct Volume Rendering
Ray Casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a sufficiently powerful voxel parsing mechanism for object distinction. In this work, we are proposing an ...
متن کاملBiomedical Image Denoising Based on Hybrid Optimization Algorithm and Sequential Filters
Background: Nowadays, image de-noising plays a very important role in medical analysis applications and pre-processing step. Many filters were designed for image processing, assuming a specific noise distribution, so the images which are acquired by different medical imaging modalities must be out of the noise. Objectives: This study has focused on the sequence filters which are selected ...
متن کاملRelative brightness due to temperature changes with ultrasound image analysis during Radiofrequency ablation
Introduction: Diagnosis of primary and secondary cancers to treat patients with diffuse and malignant tumors is an important subject. The appropriate treatment will be eliminating primary and metastatic tumors. Radiofrequency ablation with localized heat induction in the target tissue causes irreversible cellular damage and tissue coagulation. Estimation of tissue temperature c...
متن کامل