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A Fuzzy Imaging Technique for Image Understanding

A Fuzzy Imaging Technique for Image Understanding

... Ganesan et al., (2014) proposed a new automatic detection and classification of DR using trace transforms. This method presented two types of classification techniques with its accuracy such as SVM with quadratic kernels ... See full document

11

Robust Fuzzy Content Based Regularization Technique in Super Resolution Imaging

Robust Fuzzy Content Based Regularization Technique in Super Resolution Imaging

... the image acquisition are limited in our approach, the model can respectively be generalized to cover more ...SR image. This method is not adaptive with the content of the image and only regards the ... See full document

9

Maximally Stable External Regions Based Object Recognition Technique Using Fuzzy Logic

Maximally Stable External Regions Based Object Recognition Technique Using Fuzzy Logic

... scene image/video, and recognizes text information from the detected text ...for image regions of text ...text understanding and text retrieval, are respectively proposed to extract text information ... See full document

7

Satellite Image Classification Using Fuzzy Logic Technique

Satellite Image Classification Using Fuzzy Logic Technique

... The related work or previous works was included in this chapter. This includes the research and comment that had been done before. The facts that was related was included. This was important for understanding the ... See full document

24

Simultaneous buried object detection and imaging technique utilizing fuzzy weighted background calculation and target energy moments on ground penetrating radar data

Simultaneous buried object detection and imaging technique utilizing fuzzy weighted background calculation and target energy moments on ground penetrating radar data

... applied to the data without considering whether a DWS is active or not, the target data estimate is corrupted and complex scenes may appear in GPR images. In this case, interpretation of GPR B-scan data by the operator ... See full document

12

An Adaptive Fuzzy C Means Algorithm for  Improving MRI Segmentation

An Adaptive Fuzzy C Means Algorithm for Improving MRI Segmentation

... and image segmentation ...resonance imaging (MRI) for diagnosis, treatment planning and clinical studies, it has become almost necessary for radiological experts to make clinical diagnosis and treatment ... See full document

11

Image Fusion Technique using Fuzzy and Wavelet Analysis of Medical Image

Image Fusion Technique using Fuzzy and Wavelet Analysis of Medical Image

... medical imaging, automotive and remote sensing. Image fusion deals with group action knowledge obtained from completely different sources of data for intelligent ...systems. Image fusion provides ... See full document

8

A Study and Analysis of Image Compression by Wavelet Transform Technique: A Fuzzy                  Logic Approach

A Study and Analysis of Image Compression by Wavelet Transform Technique: A Fuzzy Logic Approach

... of Image Decompression However, image storage is required most commonly for educational and business documents, medical images like in computer tomography (CT), magnetic resonance imaging (MRI) and ... See full document

6

Title: Detection of WML in MRI Brain Images using Neuro-Fuzzy Inference System

Title: Detection of WML in MRI Brain Images using Neuro-Fuzzy Inference System

... Medical Imaging is the technique and process used to create images of the human body for clinical or medical science which is often perceived to designate the set of techniques that produce images of the ... See full document

10

An Adaptive Fuzzy Logic Based Technique To Read User’s Mind for Image Annotation

An Adaptive Fuzzy Logic Based Technique To Read User’s Mind for Image Annotation

... digital imaging technology, image annotation is an important and promising methodology for image ...This image annotation can be used for indexing and understanding of large collections ... See full document

5

Image Segmentation Techniques: A Survey

Image Segmentation Techniques: A Survey

... given image. In [3] they have applied Histogram technique along with Fuzzy C Means ...the fuzzy clustering ...in image segmentation is Fuzzy C-means (FCM) algorithm because it ... See full document

7

Robust fuzzy logic technique for low contrast image shadow removal

Robust fuzzy logic technique for low contrast image shadow removal

... In this paper s-curve model has been presented from the Fuzzy logic technique .by using this model we can easily eliminate the shadow and extract the object very successfully. This model will achieve the ... See full document

5

Applications of fuzzy logic approach in image segmentation

Applications of fuzzy logic approach in image segmentation

... Clustering refers to identifying the number of subclasses of c data samples, and c < n). c = 1 denotes rejection of the hypothesis that there are clusters in the data, constitutes the trivial case where each sample is ... See full document

5

EDGE DETECTION TECHNIQUE IN DIGITAL IMAGE PROCESSING USING FUZZY LOGIC

EDGE DETECTION TECHNIQUE IN DIGITAL IMAGE PROCESSING USING FUZZY LOGIC

... property much better. To define this set, we also need two thresholds, say gray levels 50 and 150. All gray levels that are less than 50 are the full member of the set, all gray levels that are greater than 150 are not ... See full document

5

Image Denoising Using A New Hybrid Neuro-Fuzzy Filtering Technique

Image Denoising Using A New Hybrid Neuro-Fuzzy Filtering Technique

... The proposed hybrid impulse noise removal operator discussed in the previous section is implemented. The performance of the operator is tested under various noise conditions and on ten popular test images from the ... See full document

9

Satellite Image Resolution Enhancement using Dual tree Complex Wavelet Transform and Non Local Mean

Satellite Image Resolution Enhancement using Dual tree Complex Wavelet Transform and Non Local Mean

... The NLM filter which is an extension of neighborhood filtering algorithms and it is based on the assumption that image content is likely to replicate itself within some neighborhood and in neighboring frame. It co ... See full document

5

Damage Detection and Localization under Ambient Environment via Green’s Function Extraction.

Damage Detection and Localization under Ambient Environment via Green’s Function Extraction.

... transducers as sensors covering a circular area (300 mm in diameter). Sinusoidal 20 kHz pulse from 20 piezoelectric transducers, friction noise from the scrubbing pad and acoustic noise from the loudspeaker were the ... See full document

169

An Expert Technique for Content-Based Color
Image Retrieval

An Expert Technique for Content-Based Color Image Retrieval

... The second filtering process is performed to compute further similarity by considering color spatial information. We will call the bit stream used in this step the distribution block signature. First an image is ... See full document

5

Visualization of Sacral Nerve Roots via Percutaneous Intraspinal Navigation (PIN)

Visualization of Sacral Nerve Roots via Percutaneous Intraspinal Navigation (PIN)

... transported to our research angiography suite (Infinix VC-i, Toshiba, Tokyo, Japan) and placed in the prone position. Lumbar puncture with an 18-gauge single- wall puncture angiography needle was performed un- der ... See full document

5

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

... 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 ...enhancement technique can ... See full document

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