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染色体图像细化处理的研究与改进 总被引:1,自引:0,他引:1
讨论了细化算法在染色体图像处理中的应用,着重提出了一种具有较高准确度的细化算法,通过基本细化、去枝、延伸等步骤,使得提取的中心线相当接近理想的中心线,并且不会由此引入新的噪声,效果满意。 相似文献
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根据高校计算机图形图像处理课程的教学目的,在教学实践中引入了情境体验教学法,探讨了情景体验教学法在计算机图形图像处理课程教学中的实施方法.提出了人文情境与科学情境的结合,教育与美的结合等理念,丰富和发展了计算机图形图像处理课堂教学方法. 相似文献
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图像处理实用技术课程教学方法改革的探索与实践 总被引:1,自引:1,他引:0
本文对图像处理实用技术Photoshop课程在教学方法改革与实践中,综合采用了案例情景教学法、任务驱动教学法、分组合作教学法、视频演示教学法与多样的考核方式,并分析了各教学方法的作用。 相似文献
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介绍了红外图像处理技术在钢坯识别和定尺切割中的应用,提出了利用红外成像技术检测钢坯温度,用于调整冷却控制系统.并引入图像处理的模糊数学算法,结合可编程逻辑控制器(PLC)强大的控制功能,完成连铸生产过程的各种自动控制功能. 相似文献
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图像处理、图像分析、图像理解是图像工程的三个研究层次,其中图像处理是主体基础理论部分。文中把矩阵分析与图像处理结合起来,提出了图像处理的矩阵分析方法,这种方法把图像处理转化成了矩阵分析,为各种图像处理提供了一种良好的数学实现途径,具有独特的应用特性。 相似文献
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针对多片TMS320C64 DSP构成的多计算机体系结构的实时图像识别系统,设计并实现了面向并行图像处理的实时分布式操作系统PIPORTDOS(Parallel image processing-oriented real-time distributed operating system).PIPORTDOS基于微内核体系结构,包括硬件抽象层、系统核心层、分布式消息通信机制和系统服务层四个层次.其多任务内核实现了基于优先级的抢先式调度、任务闻的同步和通信原语、实时的中断处理以及面向应用的缓存管理机制.为了实现对分布式并行图像处理的支持,PIPORTDOS采用了基于消息传递(Message Passing)的方式,并在实现中充分考虑了上层图像处理算法的应用需求以及DSP的硬件功能.相关性能指标表明,本文设计实现的PIPORTDOS完全可以满足系统的强实时性要求.在功能上也能适应算法对不同并行结构的需求. 相似文献
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基于中断方式的图像采集是图像处理软、硬件开发的一个技术难点,通常也是目标跟踪项目要求的一个关键技术指标。根据实际工程项目的需要,利用S5933硬件中断资源,设计、开发了基于PCI总线的图像采集卡,在Windows操作系统下,成功地解决了基于中断方式的图像采集问题,并给出了PCI总线异步、同步方式下图像数据传输的实验测试结果。 相似文献
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采用运动点团模式对鱼眼视频序列中的目标检测方法进行了研究和探讨。运动点团模式的运动目标检测分为三个层次,每个层次对应一个具体的检测算法,即基于像素层的背景提取和更新、运动点团层的点团检测和判定及运动目标层的目标标记和跟踪。对三个算法的原理进行了探讨,并结合鱼眼图像的特点进行了算法改进和优化。实验结果表明,以运动点团作为中间检测过程的方法能有效对圆形鱼眼视频序列中的多个运动目标进行检测,特别是图像边缘的大畸变、低分辨率目标,相比传统的检测方法具有更好的检测稳定性和准确性,在大范围智能视频监控中具备很好的实际应用价值。 相似文献
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本文利用PB BLOB可以操作二进制大对象的特点,借助PB内置函数对PB的住操作能力进行了函数封装,扩展了PB的位操作能力并给出了在图像处理和工业控制中的应用实例。 相似文献
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本文利用PB BLOB可以操作二进制大对象的特点,借助PB内置函数对PB的位操作能力进行了函数封装,扩展了PB的位操作能力并给出了在图像处理和工业控制中的应用实例。 相似文献
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Clustering by scale-space filtering 总被引:12,自引:0,他引:12
Yee Leung Jiang-She Zhang Zong-Ben Xu 《IEEE transactions on pattern analysis and machine intelligence》2000,22(12):1396-1410
In pattern recognition and image processing, the major application areas of cluster analysis, human eyes seem to possess a singular aptitude to group objects and find important structures in an efficient and effective way. Thus, a clustering algorithm simulating a visual system may solve some basic problems in these areas of research. From this point of view, we propose a new approach to data clustering by modeling the blurring effect of lateral retinal interconnections based on scale space theory. In this approach, a data set is considered as an image with each light point located at a datum position. As we blur this image, smaller light blobs merge into larger ones until the whole image becomes one light blob at a low enough level of resolution. By identifying each blob with a cluster, the blurring process generates a family of clustering along the hierarchy. The advantages of the proposed approach are: 1) The derived algorithms are computationally stable and insensitive to initialization and they are totally free from solving difficult global optimization problems. 2) It facilitates the construction of new checks on cluster validity and provides the final clustering a significant degree of robustness to noise in data and change in scale. 3) It is more robust in cases where hyperellipsoidal partitions may not be assumed. 4) it is suitable for the task of preserving the structure and integrity of the outliers in the clustering process. 5) The clustering is highly consistent with that perceived by human eyes. 6) The new approach provides a unified framework for scale-related clustering algorithms derived from many different fields such as estimation theory, recurrent signal processing on self-organization feature maps, information theory and statistical mechanics, and radial basis function neural networks 相似文献
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Elyse H. Milun Deborah K. W. Walters Yiming Li Bemina Atanacio 《Computer Vision and Image Understanding》1999,76(3):259
General ribbons are presented as a mathematical model of stylus-generated images which is based on the image formation process. One purpose of the model is to provide a formal basis for the development of thinning algorithms for the stroke components of stylus-generated images. Before the stroke components can be thinned they must be segmented from the blob components of the image, which do not require thinning. The second purpose of the model is to provide a formal basis for the development of blob/stroke segmentation algorithms. Two blob/stroke segmentation algorithms based on the model are presented. 相似文献
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M. Manafifard H. Ebadi H. Abrishami Moghaddam 《Multimedia Tools and Applications》2017,76(10):12251-12280
Soccer is the most popular sport around the world, and automatic processing of soccer images is a precious alternative to the manual solutions regarding the explosive growth of soccer videos. A new multi-player detection algorithm in far view frames as an initial step to a wide range of applications, such as player tracking, is addressed in this paper. In the proposed detector, a two-step blob detection (grass-based blob detection followed by an edge-based blob detection) is combined with an efficient search mechanism based on particle swarm optimization (PSO) by assigning sub-swarms to each detected blob. Then, a sub-swarm is initialized and tripled to search for three models corresponding to two teams and the referee. Therefore, the most player-like regions in detected blobs are simultaneously searched by all sub-swarms flying through the solution space, thus expanding the scope of single player detection to multi-player detection. Experimental results demonstrate the efficiency and robustness of the algorithm. 相似文献