A compressed domain scheme for classifying block edge patterns
Related Experiment Video
Updated: Aug 19, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Hyun Sung Chang1, Kyeongok Kang
1Electronics and Telecommunications Research Institute, Daejeon 305-350, Korea. hschang@ieee.org
Abstract:
Detecting and classifying edge components in images find a wide range of applications from perceptually improved coding schemes to content-based searches. In this paper, a fast and systematic scheme is proposed to classify the edge orientation of each block in discrete cosine transform (DCT)-compressed images. Derived from a simple, but acceptable, pixel-domain algorithm, the proposed scheme performs directly on DCT coefficient domain and, thus, saves the arithmetic operations by a considerable amount. The performance of the proposed method is validated by the experiments against various natural images.
Related Concept Videos
Characteristics and Nomenclature of Copolymers
Elements of Block Diagrams
A block diagram typically includes essential elements such as comparators, blocks, and feedback loops. Each of these elements...
Block Diagram Reduction
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
Behavior of Concrete Under Compressive Load
As the concrete specimen fractures under...
Rectangular and Triangular Pulse Function
For example, consider a rectangular pulse with a 5V amplitude, a 3-second duration, and centered at t=2 seconds. This pulse can be expressed using the rectangular function, written as,
Shape and Texture of Coarse Aggregate
