Subthreshold Current Mode Design of Gabor-type CNN Image Filters

نویسنده

  • Bertram E. SHI
چکیده

We have reported CNN implementations of 1D and 2D focal plane architectures for filtering images with odd and even symmetric orientation selective filters similar to Gabor filters. These implementations used transistor circuits operating above threshold. While these implementations are fast, they also require a large amount of power. Since many applications may not require extremely fast frame rates, it is reasonable to trade some of the computing speed for reduced power consumption. In this paper, we describe a circuit architecture for Gabor-type image filtering using transistors operating in subthreshold. We exploit the concept of the transistor as a pseudo-conductance or diffuser and use a current, rather than voltage as the primary representation of the signals of interest. This design results more energy efficient computation of the filter responses with similar circuit complexity. Test results from a fabricated 32 pixel 1D array are presented.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Design of Linear Cellular Neural Networks for Motion Sensitive Filtering

Recently, several researchers have proposed using spatio-temporal filters for image motion analysis. For example, the optical flow field can be calculated from the output of a set of spatio-temporal filters. Some of the most popular spatio-temporal filters are the space-time Gabor filters, obtained by convolving a time varying image with a space-time Gabor function. Based on the cellular neural...

متن کامل

Focal Plane Implementation of 2D Steerable and Scalable Gabor-Type Filters

We describe the analog CMOS VLSI implementation of a cellular neural network (CNN) architecture which spatially filters a 2D image by two orientation selective image filters. The image is represented by a set of input currents supplied by an on-chip array of photosensors. The filters are similar to even and odd Gabor filters. The CNN architecture is implemented using two resistive networks coup...

متن کامل

3D Gabor Based Hyperspectral Anomaly Detection

Hyperspectral anomaly detection is one of the main challenging topics in both military and civilian fields. The spectral information contained in a hyperspectral cube provides a high ability for anomaly detection. In addition, the costly spatial information of adjacent pixels such as texture can also improve the discrimination between anomalous targets and background. Most studies miss the wort...

متن کامل

The Design of Multiple Gabor Filters for Segmenting Multiple Textures

Gabor filters have been successfully employed in texture segmentation problems, yet a general multi-filter multi-texture Gabor filter design procedure has not been offered. To this end, we first present a multichannel paradigm that provides a mathematical framework for the design of the filters. The paradigm establishes relationships between the predicted texture-segmentation error, the power s...

متن کامل

Handwritten Character Recognition Using CNN Gabor-Type Filters

This paper proposes an approach for handwritten character recognition using nonlinear normalisation, a CNN Gabor-Type filter, a Location Based Dominant Orientation Map and cross correlation. Based on a test set of 26 test characters acting as template and a set consisting of 4 sets of 26 unknown handwritten test characters, max. 92 % correct recognition is provided. Recognition rate is studied ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1999