A SCALE AND ROTATION INVARIANT FAST IMAGE MINING FOR SHAPES

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

Fast Screening Algorithm for Rotation and Scale Invariant Template Matching

This paper presents a generic pre-processor for expediting conventional template matching techniques. Instead of locating the best matched patch in the reference image to a query template via exhaustive search, the proposed algorithm rules out regions with no possible matches with minimum computational efforts. While working on simple patch features, such as mean, variance and gradient, the fas...

متن کامل

Rotation-Invariant Fast Features for Large-Scale Recognition

We present an end-to-end feature description pipeline which uses a novel interest point detector and RotationInvariant Fast Feature (RIFF) descriptors. The proposed RIFF algorithm is 15× faster than SURF while producing large-scale retrieval results that are comparable to SIFT. Such high-speed features benefit a range of applications from Mobile Augmented Reality (MAR) to web-scale image retrie...

متن کامل

Position-invariant, rotation-invariant, and scale-invariant process for binary image recognition.

A novel recognition process is presented that is invariant under position, rotation, and scale changes. The recognition process is based on the Fang-Häusler transform [Appl. Opt. 29, 704 (1990)] and is applied to the autoconvolved image, rather than to the image itself. This makes the recognition process sensitive not only to the image histogram but also to its detailed pattern, resulting in a ...

متن کامل

Fast Features Invariant to Rotation and Scale of Texture

A family of novel texture representations called Ffirst, the Fast Features Invariant to Rotation and Scale of Texture, is introduced. New rotation invariants are proposed, extending the LBP-HF features, improving the recognition accuracy. Using the full set of LBP features, as opposed to uniform only, leads to further improvement. Linear Support Vector Machines with an approximate χ-kernel map ...

متن کامل

Rotation and Scale Invariant Color Image Retrieval Using Fuzzy Clustering

Color is one of the most important image features used in content-based image retrieval (CBIR). This paper proposes a robust and effective color feature known as ring-based fuzzy histogram (RFH), which reduces noise sensitivity in conventional color histograms (CCH) by using two stages of fuzzy clustering. By partitioning images into rings, RFH can capture an image’s spatial information, and is...

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: IOP Conference Series: Materials Science and Engineering

سال: 2021

ISSN: 1757-8981,1757-899X

DOI: 10.1088/1757-899x/1055/1/012097