An associative-processor-based mixed signal system for robust grayscale image recognition
An associative-processor-based mixed signal system for robust grayscale image recognition
复制标题
基于关联处理器的混合信号系统，用于稳健的灰度图像识别
DOI：
10.1109/iscas.2002.1010659
复制
发表时间：
2002
期刊：
影响因子：
--
通讯作者：
T. Shibata
中科院分区：
文献类型：
--
作者：
M. Yagi;T. Shibata
为实现稳健的灰度图像识别，提出了一种基于关联处理器的VLSI系统结构。该系统接收灰度图像的/SPL/像素块，从图像中提取特征向量，并通过模板匹配对图像进行识别。采用模拟相联处理器作为模板匹配核心，具有结构紧凑、处理速度快的特点。为了产生特征向量，专门的数字电路已经被开发出来，因为它们在算法中具有多功能性。分析医学X射线图像(由专家牙医进行头影测量地标识别)作为系统的练习，并进行了密集的计算机模拟以优化系统的识别性能。虽然整个系统尚未在单个芯片上实现，但系统中的所有关键子电路都已制作成测试电路，并已通过实验验证了它们的正确功能。实验还表明，在不降低识别性能的情况下，通过在亚阈值范围内操作模拟电路，模板匹配核心的极低功耗操作是可能的。
An associative-processor-based VLSI system architecture has been developed for robust grayscale image recognition. The system receives a 64/spl times/64 pels block of a gray scale image, extracting a feature vector from the image and recognizing the image by template matching. An analog associative processor is adopted as the template matching core because it features compact implementation as well as fast processing due to its fully parallel architecture. For generating feature vectors, dedicated digital CMOS circuits have been developed because of their versatility in the algorithm. The analysis of medical X-ray pictures (Cephalometric landmark identification by expert dentists) was taken as an exercise for the system, and intensive computer simulations have been conducted to optimize the recognition performance of the system. Although the entire system has not yet been implemented on a single chip, all the key sub circuits in the system were fabricated as test circuits and their correct functioning has been experimentally demonstrated. It is also shown by experiment that very low power operation of the template matching core is possible by operating the analog circuitry in the subthreshold regime without degrading recognition performance.