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31 A new texture feature extraction method using Local Walsh Transform (LWT) is presented. The definition of LWT is given. The statistical properties of LWT coefficients are analyzed.

32 A new wood color feature extraction method combining image block theory was given on the basis of the previous studies.

33 It proposes new boundary feature extraction way of handwritten numeral recognition, which is simple and effective.

34 According to features of edge gradient maps of face images, a new eye feature extraction algorithm based on gradient vector flow field was proposed.

35 The special pattern for feature extraction and the re-alignment idea furthest decreased the effect of the cameras- performances on the alignment precision.

36 A nature scene image color-texture feature extraction method based on human visual system(HVS) was proposed.

37 A method for feature extraction of high resolution remote sensing image is presented which is based on the statistical model of the marginal distribution of wavelet coefficients.

38 By simulation it shows that the obtained I and Q phase reference video signals, by means of the preprocessing, lay a solid foundation of feature extraction.

39 Secondly, based on a hierarchical sparse coding process, we present a hierarchical feature extraction method for generic object recognition.

40 Feature extraction is the premise of metric matrix calculation with regard to the metric rectification method on sea image.

41 A fuzzy gradient feature extraction method based on gradient normalization applied in handwritten character recognition is proposed.

42 A feature extraction algorithm was used to extract the features in mold cavity, and the manufacturing strategy was formulated based on these features.

43 A new feature extraction method, named S-E coordinate, is proposed from the computer optical input discrete pattern of handprinted Chinese characters.

44 We propose a multistage SAR target recognition process based on target detection, target segmentation, target aspect estimation and invariant feature extraction.

45 A new morphological feature named erosion degenerate factor is used to indicate the lobulated state of cell and achieves feature extraction by combining with traditional characteristics.

46 To solve this problem, a new method of direct gray-scale feature extraction based on the circular projection algorithm and the vector sum for testing the quality of the pressed character is presented.

47 With the algorithms of video feature extraction, similarity measure and fast search based on clustering index table, a video similarity search system was implemented.

48 On the basis of analyzing and comparing existing methods, it presents a motion feature extraction method which is based on movement object in video.

49 Combining with the information of nostril, it presented a lip feature extraction method lip feature points.

50 As a novel biometric authentication technology, human ear recognition needs to solve the problems of image processing such as edge detection and feature extraction.

51 An effective algorithm of feature extraction for spotlight synthetic aperture radar images is presented.

52 Method for invariant feature extraction based on shape boundaries are proposed.

53 The nature of automation target recognition is pattern recognition, and feature extraction is an important part of pattern recognition system, which is a powerful guarantee of correct classification. Sentencedict.com

54 In this paper, we present a method to realize feature extraction on low contrast magnetic domain images of magneto-optical recording films.

55 The study of signature energy feature extraction method is emphasized.

56 For lack of actual damage samples in the structure damage diagnosis, a method called support vector machines (SVM) based on the feature extraction by wavelet packet decomposition is proposed.

57 Feature extraction is the key part of handwritten chinese character recognition.

58 Generally, face classification system has the following three steps: face detection, feature extraction, and classification.

59 Applied BP neural network to recognize numbers, and adopted a method of wipe off miscellaneous points to take out noise, and used a method of per pix feature extraction to extract feature vector.

60 Document classification feature extraction is the precondition for classifying WEB texts. The results of feature extraction will directly influence the accuracy and efficiency of text classification.