utilizing stochastic resonance principle for biomedical image enhancement
báo cáo hóa học: " A scale-based forward-and-backward diffusion process for adaptive image enhancement and denoising" pdf
... regions of the images are displayed Figures and depict the restored images using the six algorithms, for visual quality assessment The (a) (b) Figure Lena image (a) Original image (b) Noisy image with ... (h) Figure 10 Enhanced images for the 3-dimensional data volume of a T1-weighted MR simulated image (a) Original MR image (slice 80) (b) Corrupted MR image (c) Enhanced MR image with CAD (d) WAD ... (h) Figure 11 Enhanced images for the 3-dimensional data volume of a T2-weighted MR simulated image (a) Original MR image (slice 80) (b) Corrupted MR image (c) Enhanced MR image with CAD (d) WAD...
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Báo cáo y học: " The mechanism for stochastic resonance enhancement of mammalian auditory information processing" doc
... L, Pantazelou E, Moss F: Noise enhancement of information transfer in crayfish mechanoreceptors by stochastic resonance Nature 1993, 365:337-340 Moss F: Stochastic resonance: from the ice ages ... mammalian auditory information processing, any hi may contain a critical part of the information carried by h, a necessary condition for SR to occur is fi = hi + ei ≥ s for all ≤ i ≤ n (3) That ... acceptable for mammalian auditory information processing It was mathematically proven that for a Hölder class Λα(M) the best that any de-noising algorithm can achieve is Page of 11 (page number not for...
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Multi-level Image Enhancement for Pulmonary Tuberculosis Analysis doc
... X-ray image, and that is the target for research The aim of image processing and image segmentation is to autodetect tuberculosis cavities, which is one of the most difficult tasks in image processing ... After detection of the early lung cancer X-ray image, most significant information exists in the image RESULTS Figure TB cavities detection (a) Image from Algorithm I (b) Low-pass filter detection, ... orientations of image g (x, y) from the wavelets filter In the follow section, each step is explained with resultant image Considering the algorithm (A) and (B), the histogram of typical chest X-ray image...
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signal processing for image enhancement
... on video coding on timehonored topic of securing image information Signal Processing for Image Enhancement and Multimedia Processing is designed for a professional audience composed of practitioners ... show its desired ability for image restoration; mainly for ink bleed-through removal, specific document image degradation Key words: Mean Shift, segmentation, document image, restoration, ink bleedthrough ... segmented image with the local-global Mean Shift A Modified Mean Shift Algorithm For Efficient 21 2.4 Experimental results: Segmentation for document image restoration 2.4.1 Problem statement Image...
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Báo cáo hóa học: " Complementary tensor-driven image coherence diffusion for oriented structure enhancement" ppt
... the histogram for |∇uσ |2 is sufficient for wide categories of images In the experiments, we set T to be 10% quantile of |∇uσ |2 The noise scale s and integration scale r are given for each case ... P-M equation for image enhancement [2] It corresponds to the case that D is a where + |∇uσ |2 λ2 l is the contrast parameter that can be chosen as the 90% quantile of the histogram for | ∇f | The ... diffusion is robust and reliable for enhancing-oriented structures Conclusions In this article, complementary diffusion tensor-driven method for image coherence enhancement was proposed A new structure...
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Báo cáo hóa học: "Research Article Fuzzy Mode Enhancement and Detection for Color Image Segmentation" docx
... figure shows that our transformation outperforms the classical fuzzy opening for mode enhancement However, since the effect of this transformation t, yielding the transformed mode membership function ... component has been set to zero all over the image, as for all the synthetic images used in this paper Figure 1(b) shows the histogram H(R, G) of this image where R and G are the color components ... pixels and ignores their spatial location in the image So, in case of nonuniform lighting, the histogram is not always a relevant tool for color image segmentation by mode detection 2.2 Spatial-color...
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On using and improving gradient domain processing for image enhancement
... multispectral image fusion to hyperspectral image fusion1 In multispectral image fusion methods [8, 88, 40], images consist of three visible-spectrum images (RGB) and one extra image that integrates information ... only in the foreground region To composite a new gradient map (G) for the enhancement, we use the gradient of the original image (∇Ii ) for the foreground and the gradient of an image from the ... the input image 3.3.2 Gradient map composite for contrast enhancement For the contrast enhancement task, the procedure is similar to the procedure for the artifact removal, but can be performed...
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Name card image enhancement and restoration for text recognition
... enhance images are different and application-oriented For example, an algorithm that is useful for enhancing medical images may not be able to enhance images that are taken by a space probe Image enhancement ... image or convert the image to a form better suited for analysis by a human or a machine There is no general criterion to judge whether an algorithm enhances images When an image is enhanced for ... image should produce superior results than a 64*64 image because it utilizes a larger area of image But for distance estimation, using 64*64 images (4.1 pixels) is superior to using 128*128 images...
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XỬ lý và NÂNG CAO CHẤT LƯỢNG ẢNH IMAGE ENHANCEMENT
... õy thc hin bi phộp tuyn lụgớc Thut toỏn bin i c túm tt nh sau: For all pixels I(x,y) Begin Tớnh FOR( x,y) {tớnh or lụ gớc } - if FOR( x,y) then ImaOut(x,y) < else ImaOut(x,y)
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Image Enhancement
... of Biomedical Engineering Image Enhancement -4- Digital Image Processing Image Enhancement -5- Digital Image Processing Department of Biomedical Engineering Image Enhancement -6- Digital Image ... Engineering Image Enhancement -9- Digital Image Processing Department of Biomedical Engineering Image Enhancement -10- Digital Image Processing Department of Biomedical Engineering Image Enhancement ... Engineering Image Enhancement -16- Digital Image Processing Department of Biomedical Engineering Image Enhancement -17- Digital Image Processing Department of Biomedical Engineering Image Enhancement...
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Tài liệu MEMS Sensors for Biomedical Applications pptx
... ESI Nozzle for Protein Mass Spectrometry SEM of Capillary Tips 16+ 15+ 17+ 2.5 mm 18+ 20+ 14+ Relative Abundance 19+ 21+ 22+ 23+ 13+ 24+ 25+ 600 12+ 800 1000 1200 1400 m/z Taylor Cone Formation ... cavity Si substrate Cross-section Photograph Successful Test on NASAF 15 cm Shear-stress Sensor Imager Shear Stress (Pa) 2.86 cm M=0.9 Stanton Sensor M=0.7 M=0.5 M=0.3 Micro Sensor Time Multi-sensor ... Data Hand-Fitted Curve -54 -72 -90 Background 60 Hz averaged away -108 time (msec) Traditional ESI for Mass Spectrometry particle filter air flow MS Inlet Vacuum inside MS Glass capillary 1-4 kV...
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Tài liệu Đề tài " An uncertainty principle for arithmetic sequences " ppt
... log z) k=2 In fact, for z ≥ 200 613 AN UNCERTAINTY PRINCIPLE FOR ARITHMETIC SEQUENCES and the claim follows For small p < 1013 , set K = [log z/(2 log p)] and observe that for k ≤ K the numbers ... u) for all large u (say, for all u ≥ U ) it follows that L(σ − σ∞ , s) is absolutely convergent for all complex s Therefore the identity sL(σ, s) = sL(σ − σ∞ , s) + σ∞ , which a priori holds for ... allows us to handle sequences for which h(p) is significantly larger than for many primes Therefore we will, from now on, restrict ourselves to the case when ≤ h(n) ≤ for all n Suppose that (q, S)...
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Tài liệu Báo cáo khoa học: "Self-Training for Biomedical Parsing" doc
... abstracts and citations from a wide variety of biomedical literature As we note in the next section, the number 270,000 was selected by observing performance on a development set We weighted the ... within Biology As already noted, the Medline abstracts used for self-training were chosen randomly and thus span a large number of biomedical sub-domains The results, the central results of this ... worst of the lot On the other hand, it is already better than the 80.2% best previous result for biomedical data This is solely due to the introduction of the 50-best reranker which distinguishes...
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Tài liệu Báo cáo khoa học: "Exploiting N-best Hypotheses for SMT Self-Enhancement" doc
... that for a given source input, phrase-pairs that appeared in the Nbest hypotheses are better than those that did not We call the former “good phrase-pairs” and the later “bad phrase-pairs” for ... procedure for translation model selfenhancement can be summarized as follows Run decoding and extract N-best hypotheses Extract “good phrase-pairs” according to the hypotheses’ phrase-alignment information ... responding target sentence can produce better translations for a phrase-based SMT system We bring this idea forward to our word reordering selfenhancement framework, which similarly translates a source...
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Báo cáo khoa học: "Combining EM Training and the MDL Principle for an Automatic Verb Classification incorporating Selectional Preferences" pot
... Figure Both for 10 and 20 frames, the results are better for 50 than for 20 clusters, with small differences between 10 and 20 frames The results vary between -11.850 and -10.620 (for 5-50 iterations), ... select for concepts rather than individual words also reduces the number of parameters and helps to avoid sparse data problems The application of the MDL principle guarantees that no important information ... partial WordNet HMM for each argument slot c, f, i which encodes the selectional preferences It contains only the WordNet concepts that the slot selects for, according to the MDL principle (cf Section...
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Báo cáo khoa học: "A Rose is a Roos is a Ruusu: Querying Translations for Web Image Search" pdf
... expected to return high quality images (3) It queries Google Images using the three shortlisted translations and displays the images In this fashion I DIOM searches for images that are relevant to ... at least one good image for the sense in the top three We compared performance among a number of machine learning algorithms and found that Random Forests (Breiman, 2001) performed the best overall ... versus 63% for Naive Bayes and 62% for SVMs This high performance of Random Forests mirrors other past experiments (Caruana and Niculescu-Mizil, 2006) Because of the ensemble nature of Random Forests...
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Báo cáo khoa học: "Stochastic Iterative Alignment for Machine Translation Evaluation" doc
... length N for i = 1; i ≤ M; i = i +1 for j = 1; j ≤ N; j = j +1 for k = 1; k ≤ i; k = k +1 for m = 1; m ≤ j; m = m +1 scorei,j,k,m = max{scorei−1,j,k,m ,scorei,j−1,k,m } ; end for end for scorei,j,i,j ... |ref |; for i = 1; i ≤ M; i = i +1 for j = 1; j ≤ N; j = j +1 for k = 1; k ≤ i; k = k +1 for m = 1; m ≤ j; m = m +1 scorei,j,k,m = max{scorei−1,j,k,m , scorei,j−1,k,m }; end for end for if i ... (Brown et al., 1993) Stochastic word matching is a uniform replacement for both morphological processing and synonym matching More importantly, it can be easily adapted for different kinds of...
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Báo cáo khoa học: "Combining Tree Structures, Flat Features and Patterns for Biomedical Relation Extraction" ppt
... different PPI annotation formats For a comparative evaluation Pyysalo et al (2008) put all of them in a common format which has become the standard evaluation format for the PPI task In our experiments, ... negative cue and walk features formative words which produce uninformative walk features Hence, they are not suitable for walk feature generation MEDT suits better for this purpose The walk features ... contextual information of the words occurring before, between and after the pair of entities (to be investigated for RE) in the corresponding sentence; while the LC kernel exploits contextual information...
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The New Car Assessment Program Suggested Approaches for Future Program Enhancements doc
... ratings information to consumers so that market forces can be generated to improve safety III Approaches for Enhancing NCAP NCAP’s goal is to enhance occupant safety by generating market demand for ... speeds below 25 mph Therefore a low speed rating program could provide opportunities for injury reduction in these ranges NCAP has been testing and rating for years and for MY 2006, approximately ... by vehicle type that resulted in rollover was 1.8 percent for cars, 1.9 percent for vans, 3.7 percent for pickup trucks and 5.3 percent for SUVs as estimated by NASS GES 14 involved in a single-vehicle...
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