<title>Algorithms for efficient and accurate edge detection and localization</title>

In this paper, a proposal of a new and unusual framework to detect and extract the text from the images and video frames have been presented. In the past various methods have been presented for detection and localization of text in images and video frames. In this paper, a comparison has been made between several text detection methods and proposed method for text detection in images and video frames. The proposed method is carried out by edge detection, and the projection profile method is used to localize the text region better. Various experiments have been carried out to evaluate and compare the performance of the proposed algorithm. Experimental results tested from a large dataset have demonstrated that the proposed method is effective and practical. Various parameters like average time, precision and recall rates and analyzed for both existing and proposed method to determine the success and limitation of our method.

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Difference mode EXELFS with parallel-detection EELS

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100130948 ◽

1992 ◽

Vol 50 (2) ◽

pp. 1262-1263

Author(s):

Michael K. Kundmann ◽

Ondrej L. Krivanek

Keyword(s):

Edge Detection ◽

Important Distinction ◽

Edge Structure ◽

Parallel Detection ◽

Gain Variation ◽

Ideal Solutions ◽

Detector Cell ◽

The Difference ◽

Elemental Detection ◽

Partial Correction

Parallel detection has greatly improved the elemental detection sensitivities attainable with EELS. An important element of this advance has been the development of differencing techniques which circumvent limitations imposed by the channel-to-channel gain variation of parallel detectors. The gain variation problem is particularly severe for detection of the subtle post-threshold structure comprising the EXELFS signal. Although correction techniques such as gain averaging or normalization can yield useful EXELFS signals, these are not ideal solutions. The former is a partial throwback to serial detection and the latter can only achieve partial correction because of detector cell inhomogeneities. We consider here the feasibility of using the difference method to efficiently and accurately measure the EXELFS signal.An important distinction between the edge-detection and EXELFS cases lies in the energy-space periodicities which comprise the two signals. Edge detection involves the near-edge structure and its well-defined, shortperiod (5-10 eV) oscillations. On the other hand, EXELFS has continuously changing long-period oscillations (∼10-100 eV).

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