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[PDF] Top 20 Research on Defects Detection by Image Processing of Thermographic Images

Has 10000 "Research on Defects Detection by Image Processing of Thermographic Images" found on our website. Below are the top 20 most common "Research on Defects Detection by Image Processing of Thermographic Images".

Research on Defects Detection by Image Processing of Thermographic Images

Research on Defects Detection by Image Processing of Thermographic Images

... results of experimental investigation of thermal phenomena in a square shape (180 mm *180 mm) STS 304 specimen with 10 mm thickness and artificial defects with circular cut-outs of varying ... See full document

7

Applying Gabor Wavelet in Image Processing for Defect Detection on Steel plates

Applying Gabor Wavelet in Image Processing for Defect Detection on Steel plates

... one of the most important issues in the industry of steed sheet ...production. Detection of surface defects allocates a high percent of quality control process to ...lines ... See full document

6

ADVANCED IMAGE PROCESSING TECHNIQUES FOR DETECTION AND QUANTIFICATION OF DRUSEN

ADVANCED IMAGE PROCESSING TECHNIQUES FOR DETECTION AND QUANTIFICATION OF DRUSEN

... success of this work, to whom I would like to express my gratitude, and to the institutions they ...University of Aberdeen, for all his collaboration during this work, who introduced to us the problem ... See full document

225

Moment feature based fast feature extraction algorithm for moving object detection using aerial images.

Moment feature based fast feature extraction algorithm for moving object detection using aerial images.

... The research presented in [2] used corner features by implementing a motion analysis methodin which motion was achieved by using the frame difference ...their research con- centrated only ... See full document

11

Analysis and characterisation of masonry walls

Analysis and characterisation of masonry walls

... the detection of defects in the domain of textile ...point defects and line defects in texture ...bank of filters are adaptively selected depending upon the image ... See full document

48

Early Detection of Lung Cancer Using Neural Network  Techniques

Early Detection of Lung Cancer Using Neural Network Techniques

... scheme on two CT data sets. An efficient lung nodule detection scheme with accuracy of ...developed by performing nodule segmentation through weighted fuzzy probabilistic method In [26] ... See full document

6

Red Palm Weevil (<i>Rynchophorus Ferrugineous, Olivier</i>) Recognition by Image Processing Techniques

Red Palm Weevil (<i>Rynchophorus Ferrugineous, Olivier</i>) Recognition by Image Processing Techniques

... This research is part of developing an automated wireless red palm weevil detection and control ...an image and can be used in wireless image sensor network which will be part of ... See full document

12

Disease Detection of Cotton Leaves Using Advanced Image Processing

Disease Detection of Cotton Leaves Using Advanced Image Processing

... this research, identification and classification of cotton diseases is ...pattern of disease is important part where some features like the colour of actual infected image are extracted ... See full document

7

Animal detection in natural images: effects of color and image database.

Animal detection in natural images: effects of color and image database.

... aim of our study is to investigate two aspects of low-level visual processing (color and database) on object recognition and its neural ...measure of the neural processes related to ... See full document

14

Novel Fuzzy Technique for Cancer Detection in Noisy Breast Ultrasound Images

Novel Fuzzy Technique for Cancer Detection in Noisy Breast Ultrasound Images

... Fuzzy image processing has widely been used in the context of image segmentation and noise ...tested on noisy breast US ...computations by conventional clustering ...better ... See full document

5

A Computer Aided Diagnosis System for Lung Cancer Detection Using Support Vector Machine

A Computer Aided Diagnosis System for Lung Cancer Detection Using Support Vector Machine

... early detection of lung cancer. Approach: On the other hand, there is a requirement for automated methodology to make use of large amount of data obtained CT ...early detection ... See full document

7

Human Iris Segmentation for Iris Recognition in Unconstrained Environments

Human Iris Segmentation for Iris Recognition in Unconstrained Environments

... stage of segmentation is detecting the boundary of iris and ...eye image in which illumination intensity distinction is much more than that of the boundary of iris and ...edge ... See full document

7

MODELING AND SIMULATION OF PARALLEL PROCESSING ARCHITECTURE FOR IMAGE PROCESSING

MODELING AND SIMULATION OF PARALLEL PROCESSING ARCHITECTURE FOR IMAGE PROCESSING

... amount of processing power and time for handling real time computer vision ...nature of processing in a typical computer vision algorithm usually ranges from many small arithmetic operations ... See full document

11

Arq. Bras. Oftalmol.  vol.65 número1

Arq. Bras. Oftalmol. vol.65 número1

... region of approximately ...information of the power and the astigmatism. Methods: The system is based on a fiber optic Placido disc projecting cone, which is attached to the objective lens of ... See full document

5

A COMPUTER AIDED DIAGNOSIS SYSTEM FOR DETECTION OF LUNG CANCER NODULES USING EXTREME LEARNING MACHINE

A COMPUTER AIDED DIAGNOSIS SYSTEM FOR DETECTION OF LUNG CANCER NODULES USING EXTREME LEARNING MACHINE

... based on helical CT ...CT images had been presented, and the CT screening system used was a TCT-900 super helix of the Toshiba ...diagnosis of lung cancer based on a CAD system in which ... See full document

10

Comparative Analysis of Various Image Fusion Techniques For  Biomedical Images: A Review

Comparative Analysis of Various Image Fusion Techniques For Biomedical Images: A Review

... based Image Fusion Over the past two decades, multiscale transforms, such as the pyramid transform and discrete wavelet transform (DWT), have been widely used for pixel-level image ...transform-based ... See full document

6

Improved Fuzzy C-Means Algorithm for MR Brain Image Segmentation

Improved Fuzzy C-Means Algorithm for MR Brain Image Segmentation

... aspect of medical image processing, where Clustering approach is widely used in biomedical applications particularly for brain tumor detection in abnormal Magnetic Resonance Images ... See full document

3

Research on Chinese University Students’ Media Images

Research on Chinese University Students’ Media Images

... days of communication study, the audience was considered relatively passive and defenseless, and communication could shoot something into them ...functions of communication by the “magic bullet ... See full document

10

A Weld Defects Detection System Based on a Spectrometer

A Weld Defects Detection System Based on a Spectrometer

... proposals of electrical arc perturbations taken from a bibliographic review ...capable of detecting perturbations at the electrical ...moved by a positioning ...controlled by a board with a ... See full document

11

Fuzzy Logic Based Edge Detection in Smooth and Noisy Clinical Images.

Fuzzy Logic Based Edge Detection in Smooth and Noisy Clinical Images.

... edge detection [20 – ...based on approximations rather than crisp ...complexity of problems where fixed values cannot be attained or ...use of a 3×3 kernel and a look up ...edge ... See full document

17

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