在这些核心检测算法的基础上，设计了一整套的织物疵点自动检测系统设备构成，包括图像信号的采集、分析、处理，疵点自动检测识别以及自动报警等部件。
We design a suit of fabric defects automatic detection equipments, including image signal's collection and analysis and processing, defects automatic detection and identification, and automatic alarm.
由于边缘检测等图像处理算法数据量较大，要求实时信号处理系统必须具有处理大数据量的能力。
The real-time signal processing system must have the ability of dealing with large amount of data when the edge detection algorithm is used in image processing.
相对于浮点计算法，移位-加操作最大的优点是计算简单，特别易于超大规模集成电路实现，因而使硬件实时处理图像信号成为可能。
Compared with the floating-point computing method, the shift-add operation is simpler, and can be implemented easily by VLSI, which enables the real-time image processing to be realized by hardware.
其中，数字信号处理技术与数字图像处理技术是实现基于多目标识别的自动乘客计数技术的前提与基础，多目标检测与跟踪计数算法是技术实现与应用的核心。
Technologies of digital signal processing and digital image processing are the basis of APC, and multi-objects detecting and tracking algorithm is the essential factor to implement it.
同时利用模板刷新、相关后处理等算法，在高复杂背景下实现实时数字图像信号处理和视频图像的目标跟踪，达到稳定的、准确的跟踪效果。
The real-time target tracking of digital image processing and video image in the high complicated background was realized, and a stable, accurate tracking effect was gotten.
针对现有适用于图像的数字水印对信号处理和几何失真比较敏感的问题，论文首先提出一种稳健的数字图像水印算法。
Many digital watermarks now available for images are sensitive to signal processing and geometric distortions, a robust digital image watermarking algorithm is proposed.
相关算法是一种广泛应用于信号和图像处理领域的方法。
Correlation matching is widely used in signal processing and image processing. This paper proposes a fast correlation matching algorithm.
该算法是先对有意义的灰度图像进行水印序列化处理后，再将其作为水印信号嵌入到载体图像的分块DCT系数直流分量里。
The meaningful gray image is serially processed into watermark signal and embedded into the DC elements of the block DCT coefficient matrix of the host image.
该算法是先对有意义的灰度图像进行水印序列化处理后，再将其作为水印信号嵌入到载体图像的分块DCT系数直流分量里。
The meaningful gray image is serially processed into watermark signal and embedded into the DC elements of the block DCT coefficient matrix of the host image.
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