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AR_spectrla_analysisissatisfactory
- 本文主要介绍在PCI图像采集系统的基上，由B超序列图像重建出全方61 t4型心动图。通过梯度算法、曲线拟合算法等图像处理技术获得心动图波形函数，采用自回归谱估计分析获得较为满意的结果。谱分析方法为心脏病的临床诊断提供了一种新的方法。 -This paper mainly introduces the PCI-based image acquisition system, the B-sequence of images from the reconstruction of a full si
KernelBasedObjectTracking
- A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
Kernel_particle_filter_for_visual_tracking
- the Kernel Particle Filter (KPF)—is proposed for visual tracking in image sequences. The KPF invokes kernels to form a continuous estimate of the posterior density function. Particles are allocated based on the gradient information estimated
matlab_4
- 基于matlab的4种梯度算子，Sobel Operator、Laplacian Operator、Prewitt Operator-Matlab based on the four kinds of gradient operator
template_matching_prabhjot
- matlab code is designed for template matching and further extraction of water bodies from satellite images based on gradient density. code also consists of color segmentation and automatic useful cluster selections.
csit2305
- This paper presents a novel approach for detecting vehicles for driver assistance. Assuming flat roads, vanishing point is first estimated using Hough transform space to reduce the computational complexity. Localization of vehicles is carried u
Line-detection-in-a-noisy-environment-with-weight
- One of the most popular approaches to detect lines is based on the Radon transform (RT). But in real-world applications RT-based approach suffers the noise and clutter, because they decrease the sharpness of the local maximums. In this paper we s
A-versatile-object-tracking-algorithm-combining-P
- This paper introduces a new object tracking method which combines two algorithms working in parallel, and based on low-level observations (colour and gradient orientation): the Generalised Hough Transform, using a pixel-based descr iption, and