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Low contrast

An Automatic Text Region Positioning Method for the Low Contrast Image

An Automatic Text Region Positioning Method for the Low Contrast Image

... the low-contrast image text ...transform, contrast- limited adaptive histogram equalization, Sobel edge detector, morphological method and eight neighborhood processing method (ENPM) ...for ...

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Performance Evaluation of Histogram Equalization and Fuzzy image Enhancement Techniques on Low Contrast Images

Performance Evaluation of Histogram Equalization and Fuzzy image Enhancement Techniques on Low Contrast Images

... Nevertheless, these techniques offer global approach to image enhancement and cannot be adapted to local brightness features of the input image because only global histogram informat ion over the whole image is used [7]. ...

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Cerebral CTA with Low Tube Voltage and Low Contrast Material Volume for Detection of Intracranial Aneurysms

Cerebral CTA with Low Tube Voltage and Low Contrast Material Volume for Detection of Intracranial Aneurysms

... and contrast media vol- umes while maintaining image ...a low tube voltage, low contrast agent cerebral CTA protocol shows the same sensitivity and specificity as the standard protocol for ...

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AN IMPROVED OBLCAE ALGORITHM TO ENHANCE LOW CONTRAST IMAGES

AN IMPROVED OBLCAE ALGORITHM TO ENHANCE LOW CONTRAST IMAGES

... or contrast. Low Brightness and low contrast images are frequently obtain in image acquisition and they are required to process for certain ...

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coronary angiography using an ultra-low contrast media

coronary angiography using an ultra-low contrast media

... and contrast enhance- ment [5, ...optimized low contrast protocols with ultra-low tube voltages (70 kV) in non-obese patients have not been ...

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Adaptive Sigmoid Function to Enhance Low Contrast Images

Adaptive Sigmoid Function to Enhance Low Contrast Images

... Feature-based contrast enhancement can be done in spatial domain or frequency domain ...local contrast at some local positions in the ...the contrast in both regions by one ...intensity-based ...

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Robust fuzzy logic technique for low contrast image shadow removal

Robust fuzzy logic technique for low contrast image shadow removal

... The shadows are playing very hazardous for recognizing objects in low contrast Images. Shadow leads to the problem of false positive errors and false negative errors. Shadows are created because the light ...

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Occlusion Robust Low Contrast Sperm Tracking Using Switchable Weight Particle Filtering

Occlusion Robust Low Contrast Sperm Tracking Using Switchable Weight Particle Filtering

... each group, the average tracking errors was determined. In the case that a sperm hides or the tracker misses the target, the correspondent error extremely increases. Thus, in order to avoid the misconception caused by ...

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Comparing Visual Acuity, Low Contrast Acuity and Contrast Sensitivity After Trifocal Toric and Extended Depth of Focus Toric Intraocular Lens Implantation

<p>Comparing Visual Acuity, Low Contrast Acuity and Contrast Sensitivity After Trifocal Toric and Extended Depth of Focus Toric Intraocular Lens Implantation</p>

... while low contrast acuity and contrast sensi- tivity were measured, as objective tests of visual quality, no subjective evaluations of spectacle independence or visual quality were collected from ...

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A Novel Method for Detection of Significant Areas with Low Contrast Boundaries of Images

A Novel Method for Detection of Significant Areas with Low Contrast Boundaries of Images

... boundary refining, the Hough Transform, graph searching, dynamic programming and contour following. A more extensive review of such techniques can be found in [6,17,35].The above four steps are grouped in only two by ...

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Theory of Optical Spatial Filtering and its Application to Enhance Low Contrast Fingerprint Images

Theory of Optical Spatial Filtering and its Application to Enhance Low Contrast Fingerprint Images

... was not achieved, the the type used in to identification work the the filtered images, pattern, overall partial frequency enhancement randomly Although enhanced of in frequency blocking [r] ...

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Experimental demonstration of reduced bend losses in low contrast polymer hybrid waveguides

Experimental demonstration of reduced bend losses in low contrast polymer hybrid waveguides

... (i.e. low losses) ...index contrast between the waveguide and its surroundings and a larger radius of curvature of the bend are known to exhibit lower bend losses ...

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Fuzzy Techniques for Enhancement of Low Contrast Images

Fuzzy Techniques for Enhancement of Low Contrast Images

... Fuzzy set theory is thus useful in managing a variety of uncertainties in computer vision and image processing applications. Fuzzy image processing is a set of different fuzzy approaches to image processing that can ...

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Reach-to-precision grasp deficits in amblyopia: Effects of object contrast and low visibility

Reach-to-precision grasp deficits in amblyopia: Effects of object contrast and low visibility

... of low contrast relative to the background or in environments of low ambient ...Such low visibility situations have been shown to be more challenging for hand action control in ...

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Synthesis and evaluation of nanoglobule-cystamine-(Gd-DO3A), a biodegradable nanosized magnetic resonance contrast agent for dynamic contrast-enhanced magnetic resonance urography

Synthesis and evaluation of nanoglobule-cystamine-(Gd-DO3A), a biodegradable nanosized magnetic resonance contrast agent for dynamic contrast-enhanced magnetic resonance urography

... before contrast and at various time points after contrast for nanoglobule- G4-cystamine-(Gd-DO3A) and ...cient contrast enhancement for MRI of the urinary systems that overcame the noise from the fat ...

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A Review on Tracking and Detecting Fish from Videos

A Review on Tracking and Detecting Fish from Videos

... in low contrast, blur, inhomogeneous lighting, and color diminishing of the underwater ...of contrast, details, and noise ...the contrast in those regions will not be sufficiently ...

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Detection of Diseases on Cotton Leaves Using K Mean Clustering Method

Detection of Diseases on Cotton Leaves Using K Mean Clustering Method

... the contrast in low contrast image, K-means clustering algorithm is used for segmentation which classifies objects based on a set of features into K number of classes and finally classification is ...

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Surveying on Fruit Disease Recognition Using Machine Learning

Surveying on Fruit Disease Recognition Using Machine Learning

... the input image using the histogram equalization is applied to increase the contrast in the low contrast image, K means clustering algorithm is used for an segmentation which class[r] ...

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A Study and Analysis of Image Enhancement Techniques

A Study and Analysis of Image Enhancement Techniques

... the contrast enhancement techniques are used, so that the image can be efficiently displayed in a manner desired by the ...of contrast in an image may differ due to poor illumination or improper setting of ...

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Enhanced motion after effects in migraine are related to contrast sensitivity: implications for models of differences in precortical/cortical function

Enhanced motion after effects in migraine are related to contrast sensitivity: implications for models of differences in precortical/cortical function

... adaptation contrast or with decreasing test display contrast, that is, it was maximal for high contrast adapting gratings paired with low contrast test ...for low contrast ...

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