Image information processing before the microelectrode arrays requires a suitable mathematical model for human visual information processing firstly.
而微电极之前的图像信息处理过程需要一个视觉信息处理模型为基础。
Because the cellular neural networks are uniquely suitable for the high-speed parallel computation and easy to implement in hardware, this model has more potential in real-time image processing.
由于细胞神经网络具有高速并行运算、便于硬件实现等特点，因此这种方法在图像实时处理中也具有很大的潜力和应用前景。
Thisinethod performs adaptive image binarization in real-time with the characteristics of fast, good result, simple and low coat, It is suitable for real-time image processing.
这种方法实现了实时自适应图像二值化，并具有二值化速度快、效果好、电路简单、成本低廉的特点，适用于实时图像处理。
The theoretical and experimental results show that the method is feasible, effective and suitable for fast cosine transform in image processing.
理论推导和实验结果表明了该方法的可行性，该方法可应用于图像的快速余弦变换。
The foundational image-processing algorithm is studied. The image processing algorithms that suitable for corn appearance quality detection are analyzed under static condition and dynamic condition.
对图像基础处理算法进行了研究，分析了静态和动态两种情况下适用于谷物外观品质检测的图像处理算法。
The fusion image is more suitable for human visual perception and the other image processing, such as image segmentation, feature extraction and object recognition.
融合图像更适合人的视觉和便于图像的后续处理，如图像分割、特征提取等。
This approach of image representation may be suitable also for other image sequences processing including time image sequence obtained from living things.
这种图象表达及信息加工方法对包括生物活体时间序列图象在内的多种序列图象加工可能都是适用的。
Studies the technique of frame shift and integral that is suitable for the processing of moving image sequence.
研究一种适用于运动图像序列的移位帧累积技术。
SIMD computer is mostly suitable for high-speed calculation of vectors, and matrix of a large quantity, and image convolution is the most important technology of image processing.
SIMD处理机特别适合于要求大量高速向量或矩阵计算的场合，数据缓存系统和对准网络是它的关键部件。
Based on the traditional processing technology in stereo image matching, this algorithm is devised to be suitable for stereo image matching.
基于传统立体图象匹配技术，提出了一种新的使用遗传算法的特征匹配方法。
This paper presents an image processing system which is suitable for JPEG2000 FPGA implementation.
用于JPEG2000静止图像压缩编码FPGA实现的图像验证系统。
Experimental results show the method is superior to traditional image enhancement methods and is suitable for real-time processing.
实验结果表明，该方法优于传统的图像增强方法且运算量更小，可以满足实时处理的需求。
Because of cost, capacity, transferring rate and power, SDRAM is more suitable than SRAM for high-speed digital image processing system.
综合成本、容量、速度和功耗因素，选择sdram作为数字图像处理系统的内存。
Suitable for beginners to learn image processing.
适合图像处理的初学者学习。
Suitable for beginners to learn image processing.
适合图像处理的初学者学习。
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