With squares and triangles and all their continuous images revealed as continuous images of the interval I, the question arose as to the general characterization of such sets. In 1908, A. Schoenflies found such a characterization (see Schoenflies [1], p. 237), which, by its very nature, ...
The center line within the box represents the median value, with the bottom and top bounds of the box delineating the 25th and 75th percentiles, respectively. Whiskers are chosen to show the 1.5 of the interquartile range. Up-triangles denote the minima and down-triangles denote the maxima. ...
The center line within the box represents the median value, with the bottom and top bounds of the box delineating the 25th and 75th percentiles, respectively. Whiskers are chosen to show the 1.5 of the interquartile range. Up-triangles denote the minima and down-triangles denote the maxima. ...
This paper presents an approach, with emphasis on the newly proposed line segment matching method, for extracting urban road networks from high-resolution satellite images. The approach is based on the characteristics of the images, knowledge about road networks, and the related mathematical models. ...
Summary: This paper presents an automatic machine-learning method to segment blood and bone marrow cell images. Different from traditional methods, we focus on a few significant samples rather than all of them. Firstly, three mean-shift procedures are used to seek the local clustering modes corres...
A linear band, which is a straight line segment with some width (i.e., thickness), is a more structured, higher-level feature compared to edge or line features. In spite of the usefulness of linear bands as features, papers dealing with their detection problem are rare. In this paper, ...
The reconstruction of neural circuits from serial section electron microscopy (ssEM) images is being accelerated by automatic image segmentation methods. Segmentation accuracy is often limited by the preceding step of aligning 2D section images to create
- 《International Journal of Engineering Science & Technology》 被引量: 0发表: 2010年 Adaptive segmentation of document images A single-parameter text-line extraction algorithm is described along with an efficient technique for estimating the optimal value for the parameter for ind... DR Sylwester ...
Summary: The standard Hough transform does not provide length and width of a line-segment detected in an image; it just detects the normal parameters of th... Z Xu,BS Shin,R Klette - Discrete Geometry & Computer Imagery 被引量: 5发表: 2014年 Adaptive Gradient-Based and Anisotropic Diffusio...
Command line python MedSAM_Inference.py#segment the demo image Segment other images with the following flags -i input_img -o output path --box bounding box of the segmentation target Jupyter-notebook We provide a step-by-step tutorial onCoLab ...