A Novel Edge Detection Method Based on PCA

نویسندگان

  • Jian-Guo Wang
  • Jing-Yu Yang
  • Ji-Zhao Hua
چکیده

By analyzing the direction characteristic of principal component analysis (PCA), we propose an edge detection method based on PCA. Using Karhunen–Loëve transform, PCA transforms the original dataset into lower-dimensional feature data. The transform has directivity both on energy accumulation and data selection. The author points out and proves the two direction characteristics. In this paper, authors proposed a method of edge detection based on PCA. Authors used twice PCA operations, called TPCA, first by process the image by PCA and second by process the transpose of the image by PCA. Experimental results are shown by using some typical 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

A Novel Method for Skin Lesion Segmentation

Skin cancer has been the most usual and illustrates 50% of all new cancers detected each year. If they detected at an early stage, treatment can become simple and economically. Accurate skin lesion segmentation is important in automated early skin cancer detection and diagnosis systems. The aim of this study is to provide an effective approach to detect the skin lesion border on a purposed imag...

متن کامل

A Novel Method for Skin Lesion Segmentation

Skin cancer has been the most usual and illustrates 50% of all new cancers detected each year. If they detected at an early stage, treatment can become simple and economically. Accurate skin lesion segmentation is important in automated early skin cancer detection and diagnosis systems. The aim of this study is to provide an effective approach to detect the skin lesion border on a purposed imag...

متن کامل

ACO Based Color Edge Detection on the Fusion of HUA and PCA Components

This paper proposed a novel technique of edge detection in which ACO Edge detection is performed on fusion of Hue and PCA component. Edge detection is the vital step in numerous critical vision applications. Edge detection produces a black and white binary image where each object is distinguished by lines. Edges are the region in the image where sharp variations exist. Matlab tool is used for i...

متن کامل

On Shrinkage-based Edge Detection in a Pca Subspace for Penumbral Imaging

We propose a robust edge extraction algorithm based on Principal component analysis (PCA) for Poisson noise reduction. In the proposed edge detection, the image is firstly transformed to PCA subspace with sparse PCA basis functions and then the noisy components are removed by a soft threshold (Shrinkage). The proposed edge extraction method, which is used as a preprocessing step of the reconstr...

متن کامل

Reducing Light Change Effects in Automatic Road Detection

Automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. Most of the road detection approaches are based on image segmentation algorithms. Color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. In order to reduce the light change ...

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 2011