DETECTING UNSPECIFIED STRUCTURE IN LOW-COUNT IMAGES

نویسندگان
چکیده

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Detecting curvilinear structure in images

Humans have a well developed ability to detect curvilinear structure in noisy images. Good algorithms for performing this process would be very useful in machine vision for image segmentation and object recognition. Previous approaches to this problem such as those due to Parent and Zucker and Sha’shua and Ullman have been based on relaxation. We have developed a simple feedforward and parallel...

متن کامل

A New Method for Detecting Ships in Low Size and Low Contrast Marine Images: Using Deep Stacked Extreme Learning Machines

Detecting ships in marine images is an essential problem in maritime surveillance systems. Although several types of deep neural networks have almost ubiquitously used for this purpose, but the performance of such networks greatly drops when they are exposed to low size and low contrast images which have been captured by passive monitoring systems. On the other hand factors such as sea waves, c...

متن کامل

Detecting Faces in Low-resolution Images

Face detectio n is o ne o f th e h o t research to p ics in C o m p uter Visio n, and greatly p rogressed in past decade. However, as far as we know, face detectio n in low-reso lutio n im ages h as no t been studied (m o st sy stem detects faces bigger th an 2 0×2 0 o r 2 4×2 4 p ixels). A co nventio nal AdaB oo st based face detectio n m eth od (Vio la & Jo nes) can detect m erely 3 2 % o f f...

متن کامل

Detecting Structure in Diffusion Tensor MR Images

We derive herein first and second-order differential operators for detecting structure in diffusion tensor MRI (DTI). Unlike existing methods, we are able to generate full first and second-order differentials without dimensionality reduction and while respecting the underlying manifold of the data. Further, we extend corner and curvature feature detectors to DTI using our differential operators...

متن کامل

Detecting Faces from Low-Resolution Images

Face detection is a hot research topic in Computer Vision; the field has greatly progressed over the past decade. However, to our knowledge, face detection in low-resolution images has not been studied. In this paper, we use a conventional AdaBoost-based face detector to show that the face detection rate falls to 39% from 88% as face resolution decreases from 24 × 24 pixels to 6 × 6 pixels. We ...

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

ژورنال

عنوان ژورنال: The Astrophysical Journal

سال: 2015

ISSN: 1538-4357

DOI: 10.1088/0004-637x/813/1/66