提出一种基于高斯拟合的平面赤足迹图象分割算法。
A planar barefoot impression image segmentation method base on Gaussian fitting is proposed.
利用相对熵选择阈值和边缘检测提出一种图象分割算法。
A algorithm of image segmentation is proposed based on relative entropy selection thresholding and edge detection.
针对工业现场环境恶劣，干扰严重的情况，提出了一种新的图象分割算法。
And in order to conquer the industry field interference, this paper presents a new image segmentation algorithm.
针对上述问题，提出了一种融合图象腐蚀和区域生长的矸石图象分割算法。
For above problems, the paper proposed a segmentation algorithm of gangue image based on image eroding and region growing.
讨论了傅氏变换应用于纹理识别的机理，并基于此提出了一种图象分割算法。
In this paper we discuss the mechanism of using Fourier transform on texture identification and then suggest a texture image segmentation algorithm based on Fourier transform.
第二步是基于模型参数的图象分割算法，其核心是一个改进的多值模拟退火技术。
The second step is the image segmentation algorithm, whose key is the improved multiple-value simulated annealing technique.
然后阐述了图象分割算法的现状，分割的原理和分类，以及一些常规的分割方法。
Then it elaborates the image segmentation principle and the classification, and introduces some conventional segmentation methods.
本文提出了一种基于算法评价知识的图象分割算法优化思想，并以该思想为基础设计实现了一个分割算法优化专家系统。
In this paper, a novel idea for optimization of image segmentation algorithms based on algorithm evaluation is proposed. According to this idea, a segmentation expert system is designed and realized.
详细说明：一个图象分割的算法原码。包括畸变矫正。
An image segmentation algorithm of the original code. including aberration correction.
针对MAP法提出了具体算法和参数估计方法。并提出应用图象分割法来提高计算机复原速度，节省存储空间。
We derive the algorithm and parameters estimate method for the MAP restoration, and propose the image sectioning to speed up the restoration and save memory space.
本文将经典的模糊c -均值聚类算法和模糊测度和模糊积分结合起来，并将这两种算法应用于医学病理图象的分割。
In this article we combine the fuzzy C-means algorithm with fuzzy measures and fuzzy integrals and apply the two algorithms to the medicinal pathological image segmentation.
文章提出了一种基于最小错误率的SAR图象自动分割算法。
The paper presents an algorithm of automatic SAR image segmentation based on minimum error ratio.
本文提出了一种噪声图象快速边缘提取和分割算法。
An algorithm of fast edge extraction and segmentation in noisy image is described in this paper.
实验结果表明该算法对光照不均和复杂背景并不敏感，能够比较快速、准确、鲁棒地分割出车牌部分的图象。
The experimental results show that this algorithm is efficient in locating the VLP while not sensitive to the unconstrained illumination conditions and irregular background.
针对背景相对静止的视频序列，提出了基于CNN差分图象合并的视频分割算法，并构建了与该算法相关的五个CNN模板。
Aim at video sequences with static background, the difference merged image algorithm based on CNN is presented. In order to realize the algorithm, five CNN templates are constructed.
最后研究了图象分割的基本原理，对分水岭算法进行了深入分析，提出的改进思路大大缩短了分割时间。
At last, the principle of image segmentation is investigated, an algorithm based on watershed transform is given, a lot of segmentation time can be shorten greatly.
本文的主要研究贡献有：1。提出基于CNN差分图象合并的视频分割算法。
The main novel contributions of this paper are as follow: 1. Difference merged image algorithm based on CNN is presented.
直接法研究分割算法本身，而间接法根据分割图象的质量来评价算法的性能。
The direct methods study segmentation algorithms themselves while indirect methods evaluate the performance of algorithms according to the quality of segmented images.
本文给出一个彩色图象理解算法。 算法首先对图象上的颜色变化（由光照和物体颜色引起）进行分析与综合，然后分割图象。
We present an algorithm of color image understanding which segments the image after analyzing sur-faces with color variations due to lighting condition and object colors.
它是基于图象分割前后矩保持不变的原理，利用图象的灰度级直方图自动地确定多个分割阈值，该算法简单、计算量小。
It is based on the principle that the moment remains unchanged before and after the segmentation. This algorithm features simplicity and less calculation requirement.
根据系统采集的图象特点，改进了以前提出的一种快速自适应动态阈值分割算法，使之既能很好解决亮区问题又能不丢失信息。
I have improved the algorithm of a fast adaptive dynamic threshold algorithm which was used by the former version. So it can solve light region problem and can avoid losing information.
这种算法本质上是从灰度分布来分割物体的算法的推广，它不仅适用于背景纹理灰度与物体表面灰度不同的图象，而且适用于背景平均灰度与物体表面平均灰度相同的图象。
In essence, the algorithm is the extension of those algorithms which segment object in a textured background by assuming the average gray levels of the object and the background are different.
用该算法分割烧结机尾断面图象，得到了良好的分割效果。
A good result is obtained using this algorithm on the segmentation of the cross-section image of the discharge end.
提出了一种利用序列图象从复杂背景中分割动目标图象的新算法。
A new algorithm presented here could be used to segment out moving objects in complex backgrounds on the basis of image sequence analysis.
实验结果表明该算法能够有效提高图象分割的质量，从而提高了半导体器件检测的正确率和自动化程度。
Finally an optimal method is developed. Experiment results show that the method can enhance the quality of image segment...
实验结果表明该算法能够有效提高图象分割的质量，从而提高了半导体器件检测的正确率和自动化程度。
Finally an optimal method is developed. Experiment results show that the method can enhance the quality of image segment...
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