Random good picture Not show

1. A statistical approach of edge detection was presented.

2. Traditional algorithms of image edge detection were analyzed.

3. Abstract: Zero - crossing edge detection method was analyzed.

4. Distilling image character is based on image edge detection.

5. Both step edgedetection and ridge edge detection were discussed.

6. An improved multi - scale morphological edge detection algorithm is presented.

7. Edge detection is an indispensable step before image analysis and recognition, and is an important technology in the image preprocessing procedure.

8. Furthermore, the algorithms of image calibration and edge detection are discussed.

9. Objective: This paper introduces an edge detection method of blood cell image, which is based on (wavelet transform WT) and( laplace operator LO).

10. By adjusting coefficient difference based on edge detection in wavelet transformation domain, integrative optimization of watermarking imperceptibility and robustness is implemented.

11. Because edge detection reduces image dimensionality, the total iterative computation pixels are only 0.88 percent of that of the original algorithm.

12. Abstract An edge detection algorithm based on multi - scale morphology was presented.

13. Bar code recognition is a matter of edge detection, which has long been done through the maximum value of the first derivative or zero crossing of the second derivative.

14. We first aPply imagesegmentation and edge detection to the source mural image.

15. This paper puts forward a novel algorithm of edge detection based on Green function. And the exact differential operator is obtained after detail mathematic deducing and calculation.

16. In this paper we introduce an effective algorithm for the deblocking of the JPEG compressed images based on the denoising and edge detection in wavelet domain.

17. Non - tensor multivariate wavelets was wildly used in pattern recognition and texture analysis and edge detection.

18. A new set method for connection matrix is proposed. The edge detection algorithm based on ICM is introduced,[sentencedict .com] which identifies the sparking scope of neuron.

19. To make the image edge of multi-region segmentation more legible, a new multi-region segmentation algorithm, which combines edge detection with region splitting and merging, is presented.

20. A algorithm of image segmentation is proposed based on relative entropy selection thresholding and edge detection.

21. In this paper we present a hybrid parallel quantum evolutionary algorithm (PQEA) based on cost minimization technique for edge detection.

22. The code of the image filter processing, the code shows the three filter matrix, including the smoothing (low pass filter), image edge detection (high-pass filter) and so on.

23. At last, the application of the algorithm proposed to image edge detection and comparative experiments show that the algorithm have great ability of detection the fuzzy edge and exiguous edge.

24. With the view of the difficulty, an sub pixel edge detection method based on least square fit detecting is proposed.

25. The main idea of this algorithm is to find a threshold by using relative entropy, and then any edge detection is used to segment image.

26. On the basis of grey level nonlinear transformation and stepwise ratio, a new method of image edge detection was put forward.

27. All kind of methods which are widely used in image edge detection are presented by author. Multiwavelet transform as a new theory is pain lucubration.

28. The method first used medial filtering, automatic thresholding, mathematical morphology binary filtering, and cross templet edge detection to extract pixel-based boundaries.

29. First smoothing process was applied to the video images, and then the number of the oil holes in the appointed depths was calculated out by the edge detection of Gauss Laplace operator.

30. According to matching results, the matching recognition ratio of edge character images based on different edge detection methods is different.