Since cell biologists need to use image processing techniques, such as edge detection, to analyze cell images the precision of these techniques is pivotal to their work. Due to the often low quality of cell images, existing edge detectors fail to routinely produce highly accurate results. In this paper, a novel hybrid method based on the canny operator and fuzzy entropy theory is proposed. The ...

We aim at using color information to classify the physical nature of edges in video. To achieve physics-based edge classification, we first propose a novel approach to color edge detection by automatic noise-adaptive thresholding derived from sensor noise analysis. Then, we present a taxonomy on color edge types. As a result, a parameter-free edge classifier is obtained labeling color transitio...

This paper presents a feature-based approach to piecewise planar modeling of architectural scenes from an oriented image sequence. An improved line detection algorithm is presented, which uses vanishing points to detect lines in the images and reconstruct them in 3D. Subsequently an extension of the 3D Hough transform is presented which allows efficient and robust detection of planes in a set o...

In this project, we develop an android app that uses computer vision techniques to estimate an object dimension present in field of view. The app while having compact size, is accurate upto +/5 mm and robust towards touch inputs. We use single-view metrology to compute accurate measurement. Unlike previous approaches, our technique does not rely on line detection and can be generalize to any ob...

We propose a system for automatically determining boundaries between phonetic segments in a speech wave given a phonetic transcription: automatic segmentation. The system uses edge detectors that are applied to various speech representations; both are optimized for each diphone or diphone class. Output from these detectors, which contains spuriously detected edges, is then combined with alterna...

A new technique to extract road edges in the roadfollowing algorithm for autonomous road vehicle navigation is described. It is based on finding road edges on a subsampled plan-view of a portion of the road ahead of the vehicle. The method is illustrated in the real-time identification of road edges using a fast vertical edge detector and link operator applied to the transformed plan view. Loca...

Detecting pigmented network is a crucial step for melanoma diagnosis. In this paper, we present a novel graphbased pigment network detection method that can find and visualize round structures belonging to the pigment network. After finding sharp changes of the luminance image by an edge detection function, the resulting binary image is converted to a graph, and then all cyclic sub-graphs are d...

The problem of extracting spectral lines from sonar images is treated using a complete scheme that combines an edge detector with a line tracing process. Comparative performance results confirm the efficiency and the reliability of the proposed approach.

By analysing potential field data in the wavelet domain and performing a multi scale edge detection we can automate what is commonly called 'worm analysis', i.e., the traditional visual inspection of gravity and aeromagnetic data in order to detect shallow faults, lineaments, contacts etc. More importantly, with the use of an appropriate wavelet, defined by the physics of the problem, informati...

SVM algorithm has a great advantage when it deals with small sample data set. However, In the process of large sample data set classification, it always has to face to the problems of slowly learning and large storage space. This paper puts forward the process of space edge detection, designs and implements the space edge detection based SVM algorithm. The result of simulation experiments shows...