Search - multichannel images

Search - multichannel images - List

[Special Effects] ctex DL : 0: In this project, we intend to segment natural images by combing colour and texture information. For this we will be using an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in the process of data partition. It is new formulation for the extraction of color features that will evaluate the input image in a multispace color representation. To achieve this, we will be using the opponent characteristics of the RGB and YIQ color spaces where the key component will be the inclusion of the Self Organizing Map (SOM) network in the computation of the dominant colors and estimation of the optimal number of clusters in the image. The texture features will be computed using a multichannel texture decomposition scheme based on Gabor filtering.
Update : 2025-02-17 Size : 339kb Publisher : rupesh
[matlab] matlab_codes DL : 0: we had to display the output of a multichannel ecg (electro cardiograph) device.... tiled vertical:. vertical aligned:. autoscaled x-axis. the - we had to display the output of a multichannel ecg (electro cardiograph) device.... tiled vertical:. vertical aligned:. autoscaled x-axis. the following images show a sample of an ecg application, where eight data sources are displayed vertically tiled and auto-scaled.
Update : 2025-02-17 Size : 3kb Publisher : usher
[AI-NN-PR] tr0812 DL : 0: AN EFFICIENT TVL1 ALGORITHM FOR DEBLURRING MULTICHANNEL IMAGES CORRUPTED BY IMPULSIVE NOISE by JUNFENG YANG, YIN ZHANG, AND WOTAO YIN
Update : 2025-02-17 Size : 1.95mb Publisher : nickzraine
[Special Effects] BID-of-Multichannel DL : 0: 盲辨识的模糊和多路冷杉完美的图像恢复乔治·吉昂奈吉斯，研究员，美国，和罗伯特·希斯，小，成员，美国-Despite its practical importance in image processing and computer vision, blind blur identification and blind image restoration have so far been addressed under restrictive assumptions such as all-pole stationary image models blurred by zero- or minimum-phase point-spread functions. Relying upon diversity (availability of a sufficient number of multiple blurred images), we develop blind FIR blur identification and order determination schemes. Apart from a minimal persistence of excitation condition (also present with nonblind setups), the inaccessible input image is allowed to be deterministic or random and of unknown color or distribution. With the blurs satisfying a certain co-primeness condition in addition, we establish existence and uniqueness results which guarantee that single-input/multiple-output FIR blurred images can be restored blindly, though perfectly in the absence of noise, using linear FIR filters. Results of simulations employing the blind order determi
Update : 2025-02-17 Size : 597kb Publisher : 蔡少岳
[Software Engineering] Multichannel-Wavelet DL : 0: Wavelet and Multichannel Wavelet Based Watermarking Algorithms for Digital Color Images
Update : 2025-02-17 Size : 365kb Publisher : matkinh