the stability and accuracy of transformation error.V. GuptaKanchan CecilVivek Kumar Gupta et.al, "An Analytical Study of SIFT and SURF in Image Registration", International Journal of Engineering and Innovative Technology (IJEIT), Volume 3, Issue 9, March 2014....
对于常用的基于特征的图像配准方法,其关键在于如何对特征进行有效的提取,尺度不变特征(Scale Invariant Feature Transform,SIFT)算法能够为我们所提供需要的不变特征。SIFT 特征具有旋转、光照、仿射和尺度等不变性,SIFT 算法是目前特征检测和匹配算法中最为有效的算法。尺度不变特征SIFT 算法可以划分为特征检测、特征描述...
On the other hand, these algorithms are not robust to airborne SAR images with large noise. To solve these problems, we propose an improved SIFT algorithm for registration between SAR and optical images. Firstly, the nonlinear diffusion scale space of optical and SAR images is constructed by ...
Many algorithms perform keypoint detection and feature description: SIFT (Scale-invariant feature transform) is the original algorithm used for keypoint detection but it is not free for commercial use. The SIFT feature descriptor is invariant to uniform scaling, orientation, brightness changes, and pa...
for image registration was forfeature extraction.Convolutional neural networks’ successive layers manage tocapture increasingly complex image characteristicsandlearn task-specific features. Since 2014, researchers have applied these networks to the feature extraction step rather than SIFT or similar algorithms...
Registration algorithms are designed to determine the best transformation, denoted by T∗, that maximizes the similarity between two images [14]. This can be achieved by maximizing the image similarity function sim(If,T(Im)), where Im and If are the moving and fixed images, respectively, ...
If the reflectance or colour images associated with the range scans are available we can extract the corresponding feature points (e.g., SIFT or SURF feature points [32]) associated with each 3-D point of [Math Processing Error]ℬp and [Math Processing Error]ℬq. The corresponding local...
Additionally, the manual method is time-consuming and cannot be used for a large number of sections, such as the Kyoto collection. Therefore, various registration algorithms have been proposed. One type of non-rigid registration uses free-form deformation (FFD), which is an area-based approach ...
The Insight Toolkit (ITK) [57] is an open-source framework offering a com- prehensive suite of image analysis tools, including regis- tration, and can also be integrated into analysis platforms such as DREAM.3D and Elastix. Although these toolboxes offer a plethora of registration algorithms, ...
discretized functionals and relatedlinear systemsmay not bepositive definiteand registration thus provides a rich source of challenging problems to design efficient and converging algorithms for. Note that current medical CT images can result in 5123voxelsand a registration ends up in a nonconvexoptimizat...