Using a Cnn Sensor for 1 D Image Fixation

نویسنده

  • Bertram E. Shi
چکیده

We describe the use of a analog VLSI vision sensor for fixation of a 1D image. The sensor, which contains processing circuitry to con-volve the image with a Gabor-type filter, is mounted on a mobile robot. Experimental results indicate that a simple proportional feedback loop using only two outputs of the sensor to command the velocity of the robot can successfully fixate a moving image on the sensor.

برای دانلود رایگان 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

Improving Cross Ambiguity Function Using Image Processing Approach to Detect GPS Spoofing Attacks

The Global Positioning System (GPS) is vulnerable to various deliberate and unintentional interferences. Therefore, identifying and coping with various interferences in this system is essential. This paper analyzes a method of reducing the dimensions of Cross Ambiguity Function (CAF) images in improving the identification of spoofing interference at the GPS using Multi-Layer Perceptron Neural N...

متن کامل

Learning Document Image Features With SqueezeNet Convolutional Neural Network

The classification of various document images is considered an important step towards building a modern digital library or office automation system. Convolutional Neural Network (CNN) classifiers trained with backpropagation are considered to be the current state of the art model for this task. However, there are two major drawbacks for these classifiers: the huge computational power demand for...

متن کامل

New Method for Analysis of image sensor to produce and evaluate the image

In this paper, a new method for evaluating CMOS image sensors based on computer modeling and analysis is introduced. Image sensors are composed of different parts, each of which has a specific effect on image quality. Circuits of image sensors can be evaluated and analyzed using circuit simulators or theoretically, but these methods cannot help to produce the final image. In order to produce th...

متن کامل

A Modified Grasshopper Optimization Algorithm Combined with CNN for Content Based Image Retrieval

Nowadays, with huge progress in digital imaging, new image processing methods are needed to manage digital images stored on disks. Image retrieval has been one of the most challengeable fields in digital image processing which means searching in a big database in order to represent similar images to the query image. Although many efficient researches have been performed for this topic so far, t...

متن کامل

Digital surface model extraction with high details using single high resolution satellite image and SRTM global DEM based on deep learning

The digital surface model (DSM) is an important product in the field of photogrammetry and remote sensing and has variety of applications in this field. Existed techniques require more than one image for DSM extraction and in this paper it is tried to investigate and analyze the probability of DSM extraction from a single satellite image. In this regard, an algorithm based on deep convolutional...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1998