Application of projection pursuit learning to boundary detection and deblurring in images
نویسندگان
چکیده
Projection pursuit learning networks (PPLNs) have been used in many elds of research but have not been widely used in image processing. In this paper we demonstrate how this highly promising technique may be used to connect edges and produce continuous boundaries. We also propose the application of PPLN to deblurring a degraded image when little or no apriori information about the blur is available. The PPLN was successful at developing an inverse blur lter to enhance blurry images. Theory and background information on projection pursuit regression (PPR) and PPLN are also presented.
منابع مشابه
A hybrid learning system for image deblurring
In this paper we propose a 3-stage hybrid learning system with unsupervised learning to cluster data in the rst stage, supervised learning in the middle stage to determine network parameters and nally a decision making stage using voting mechanism. We take this opportunity to study the role of various supervised learning systems that constitute the middle stage. Speci cally, we focus on one-hid...
متن کاملA New Method for Eye Detection in Color Images
The problem of eye detection in face images is very important for a large number of applications ranging from face recognition to gaze tracking. In this paper we propose a new algorithm for eyes detection. First, the face region is extracted from the image by skin-color information. Second, horizontal projection in image is used to approximate region of the eye be obtained . At last, the eye ce...
متن کاملانجام یک مرحله پیش پردازش قبل از مرحله استخراج ویژگی در طبقه بندی داده های تصاویر ابر طیفی
Hyperspectral data potentially contain more information than multispectral data because of their higher spectral resolution. However, the stochastic data analysis approaches that have been successfully applied to multispectral data are not as effective for hyperspectral data as well. Various investigations indicate that the key problem that causes poor performance in the stochastic approaches t...
متن کاملGating Improves Neural Network Performance
In this paper, our rst purpose is to study the performance of gating network functions in a committee machine setting. The problem of image deblur-ring is used to test the capability of such a system. Input clustering divides the task of deblurring into several subtasks. Each subtask is performed by a projection pursuit learning network (PPLN) 1]. We use a dynamic gating structure to combine ou...
متن کاملAutomatic Optic Disc Center and Boundary Detection in Color Fundus Images
Accurately detection of retinal landmarks, like optic disc, is an important step in the computer aided diagnosis frameworks. This paper presents an efficient method for automatic detection of the optic disc’s center and estimating its boundary. The center and initial diameter of optic disc are estimated by employing an ANN classifier. The ANN classifier employs visual features of vessels and th...
متن کاملذخیره 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 ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Pattern Recognition
دوره 33 شماره
صفحات -
تاریخ انتشار 2000