Identification and Tabulation of Axons using Image Processing

نویسنده

  • Robert Alwood
چکیده

This paper presents a method for the automated identification of axons using image processing. Several methods of preprocessing are used in conjunction with watershed image segmentation to estimate and tally the axons. Edge detection, morphological processing, and image thresholding were used to isolate the axons in each image before segmentation. Each method was tuned for different image types; a voting system is used to provide consistent results for a wide variety of images.

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

Identification of selected monogeneans using image processing, artificial neural network and K-nearest neighbor

Abstract Over the last two decades, improvements in developing computational tools made significant contributions to the classification of biological specimens` images to their correspondence species. These days, identification of biological species is much easier for taxonomist and even non-taxonomists due to the development of automated computer techniques and systems.  In this study, we d...

متن کامل

Monitoring Identification of salt crusts in dry areas by satellite data’s processing

Monitoring the salt crusts in arid areas by satellite data processing in this research, monitoring the salt crusts of KASHAN and MAHARLOO arid areas by using LISSIII datas of IRS-P6 satellite was accomplished. After exerting essential corrections for visual inter pretation , contrast optimization and making pseudo-colorful images were used to specity the salt crusts. Then , according to the sal...

متن کامل

Identification of Houseplants Using Neuro-vision Based Multi-stage Classification System

In this paper, we present a machine vision system that was developed on the basis of neural networks to identify twelve houseplants. Image processing system was used to extract 41 features of color, texture and shape from the images taken from front and back of the leaves. The features were fed into the neural network system as the recognition criteria and inputs. Multilayer perceptron (MLP) ne...

متن کامل

Evaluation of Retinal Optic Disc Segmentation in Patients with Glaucoma and Comparison with Other Methods of Medical Image Processing

Introduction: Glaucoma is the most common cause of blindness in some countries. In the meantime, the field of retinal image processing has been proposed in order to provide automatic systems for disease diagnosis. Among the methods of medical image processing, image segmentation is a process of identification and change in the display of an image. The objective of this study was to use t...

متن کامل

Accurate Fruits Fault Detection in Agricultural Goods using an Efficient Algorithm

The main purpose of this paper was to introduce an efficient algorithm for fault identification in fruits images. First, input image was de-noised using the combination of Block Matching and 3D filtering (BM3D) and Principle Component Analysis (PCA) model. Afterward, in order to reduce the size of images and increase the execution speed, refined Discrete Cosine Transform (DCT) algorithm was uti...

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 2007