Global feature extraction operations for near-sensor image processing
Global feature extraction operations for near-sensor image processing
复制标题
近传感器图像处理的全局特征提取操作
DOI：
10.1109/83.481674
复制
发表时间：
1996
期刊：
影响因子：
--
通讯作者：
J. Eklund
中科院分区：
文献类型：
--
作者：
Anders Åström;R. Forchheimer;J. Eklund
近传感器图像处理（NSIP）是一种低级图像处理的新方法，其中执行全局操作的能力至关重要。我们定义了一个二维全局逻辑单元（GLU），它由排列在规则网络中的简单逻辑电路组成，并描述了如何使用该网络执行强大的分割和特征提取操作。网络执行的典型分割操作是孔填充、最小外接矩形、滞后阈值和任意传播模式。我们描述如何获取图像中物体的位置等特征。最后，我们展示了 NSIP 概念，包括全局功能，可以使用当今的 VLSI 技术在单芯片中实现。
Near-sensor image processing (NSIP) is a new approach to low-level image processing in which the ability to perform global operations is crucial. We define a 2-D global logic unit (GLU), which consists of simple logical circuits arranged in a regular net, and describe how to perform powerful segmentation and feature-extracting operations using this net. Typical segmentation operations performed by the net are hole filling, smallest circumscribing rectangle, thresholding with hysteresis, and arbitrary propagation patterns. We describe how to obtain features like the position of an object in the image. Finally, we show that the NSIP concept, including the global functions, can be implemented in a single chip using today's VLSI technology.