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In time-lapse live-imaging datasets of developing multicellular tissues, automated tracking of cells is required for high-throughput spatiotemporal quantitative measurements of a range of cell behaviors. This letter proposes a conditional random field (CRF) graph matching method to track plant cells in noisy images by exploiting the tight spatial topology of neighboring cells in a multicellular field...
In the research area of community detection which aims at detecting some highly cohesive vertex subsets in social network, there mainly exist some problems, such as the algorithms with comparatively excellent quality of the final partitioning usually have high time complexity and some other fast algorithms often result in low quality of partitioning or other disadvantages. Nowadays, the increasing...
Radiotherapy uses high energy radiation beam to disable the tumor cells. When the process is proceeded, the radiation illumination should be focused on the malignant tissues only. However, the cancerous sites may move with the respiration activity, and reduce the efficacy of radiotherapy or even cause damage of normal tissues unpredictably. In this work we introduce a real-time image alignment application...
Image segmentation in the big data context is a hot topic in the field of image understanding. Contrary to traditional computing paradigm with precise description of problems, Granular Computing (GrC) is studied by utilizing the toleration of imprecise, incomplete, uncertain and mass information to make systems manageable, robust, low-cost and harmonious. Thus it is an efficient measure to simplify...
This paper proposed a new image inpainting method based on morphological component analysis that is capable of filling in holes in overlapping texture and cartoon layers. Firstly, due to rich content and complex color of Tangka image, the imposition of a total variation penalty by conventional model may not be accurate and easy to produce staircase. To improve the performance of sparse-representation-based...
This paper presents a method for the square detection based on distance distribution of the edge points of the image. The orientation line of the edge point is defined first, then for each pixel of the image, the distances between the pixel and the orientation lines of the edge points in the defined neighborhood of the pixel are computed to obtain the feature length and feature energy of the pixel,...
Feature matching plays an important role in many applications, including 3D reconstruction, object recognition and video understanding. Point matching has made great progress recently, while it has made little progress in the fields of line and curve matching. By computing statistics of point descriptors constructed at each edge points, this paper develops a novel method for extending point descriptors...
This paper proposes a triangle mesh segmentation technique for conventional engineering objects. We exploited two key aspects of engineering geometry: (1) the intrinsic discontinuities existing in boundary surfaces and (2) the anisotropic behavior of true discontinuities. A two run non-linear diffusion algorithm based on an optimal estimation theory is designed to filter out undesired discontinuities...
The researches on the high efficient, safe and accurate measurement system of magnetic head pitch and roll angles for the HAA in HDD are relatively lack now. In this paper, the perspective projection transformation of the magnetic head object point in the reference image plane was expressed by using the rotary tensor transformation matrix, and the principle for projection deviation angle between the...
In this paper, we present a local graph matching based method for tracking cells and cell divisions in noisy images. We work with plant cells, where the cells are tightly clustered in space and computing correspondences across time can be very challenging. The local graph matching method is able to track the cells and cell divisions even when significant portions of the images are corrupted due to...
In this paper, we present a local graph matching based method for tracking cells and cell divisions. This will allow us to estimate the lineages of the cells in a 4D spatio-temporal image stack obtained using fluorescence imaging techniques. We work with plant cells, where the cells are tightly clustered in space and computing correspondences in space and time can be very challenging. The local graph...
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