Search Results - (( pattern detection method algorithm ) OR ( edge detection method algorithm ))

Hereditary ratio of adolescent to parent based on lips analysis using canny edge detection / Nor Shamimi Kharuddin by Kharuddin, Nor Shamimi

“…This process significantly reduces the amount of data in the image, while preserving the most important structural features of that image. Canny edge detection is considered to be the ideal edge detection algorithm for images that are corrupted with white noise. …”
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INVESTIGATION OF CANNY TECHNIQUE FOR EDGE DETECTION IN IMAGE PROCESSING by Liew, Hui Fien

“…Then, a comparison of various methods for edge detection is made. These methods include Roberts, Prewitt, Sobel, Frei-Chen, Scharr, Kirsch, Robinson and Canny. …”
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Real Time Algorithm of Wear Detection by Wan Rahim, Wan Abdul Azeem

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Adaptive edge detection and image filtering using light sensor by Ahmad Bakery, Mohd. Sarizal, Wan Ismail, Wan Ishak, Ramli, Abdul Rahman, Mustafa, Mohd. Marzuki, Razali, Mohd. Hudzari

“…Edge detection plays a vital role in image processing. …”
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Defect detection based on extreme edge of defective region histogram by Wakaf, Zouhir, Jalab, Hamid Abdullah

“…Experimental results of the proposed method show that the proposed method outperforms the current methods in terms of defect detection.…”
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A COMBINED HISTOGRAM OF ORIENTED GRADIENTS AND COMPLETED LOCAL BINARY PATTERN METHODS FOR PEOPLE COUNTING IN A DENSE CROWD SCENARIO by PARDIANSYAH, INDRATNO

“…This method used a collaborative Histogram of Oriented Gradients (HOG) and Completed Local Binary Pattern (CLBP) based on people detection algorithm to detect headshoulder region. …”
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COMPUTER AIDED SYSTEM FOR BREAST CANCER DIAGNOSIS USING CURVELET TRANSFORM by MOHAMED ELTOUKHY, MOHAMED MESELHY

“…Experimental results show that the introduced methods have very high detection accuracies. The effectiveness of the proposed methods has been tested with Mammographic Image Analysis Society (MIAS) dataset. …”
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Image segmentation for songket motif / Zati Iwani Zaharudin by Zaharudin, Zati Iwani

“…After process of comparing the three methods of image segmentation; region growing, edge detection and watershed segmentation, most appropriate method has been chosen and implemented it in prototype module. …”
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Offline handwritten character recognition using backpropagation neural network / Masnizah Mohadi by Mohadi, Masnizah

“…The useful features of information that was extracted from the handwritten character images are the edges of the character using Sobel Edge Detection Method. …”
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Detecting lung cancer region from CT image using meta-heuristic optimized segmentation approach by Shakeel, Pethuraj Mohamed, Mohd Aboobaider, Burhanuddin, Salahuddin, Lizawati

“…The introduced method detects the overlapping features for optimal edge classification. …”
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Intelligent non-destructive classification of josapine pineapple maturity using artificial neural network by Nazriyah, Haji Che Zan @ Che Zain

“…To obtain the actual size of the fruit, the detection Region of Interest (ROI) is using segmentation method called minimum symmetrical edge distance. …”
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Crypt Edge Detection Using PSO,Label Matrix And BI-Cubic Interpolation For Better Iris Recognition(PSOLB) by Hashim, Nurul Akmal

“…Recently,there has been renewed interest in iris features detection.Gabor filter,cross entrophy, upport vector,and canny edge detection are methods which produce iris codes in binary codes representation.However,problems have occurred in iris recognition since low quality iris images are created due to blurriness,indoor or outdoor settings, and camera specifications.Failure was detected in 21% of the intra-class comparisons cases which were taken between intervals of three and six months intervals.However,the mismatch or False Rejection Rate (FRR) in iris recognition is still alarmingly high.Higher FRR also causes the value of Equal Error Rate (EER) to be high.The main reason for high values of FRR and EER is that there are changes in the iris due to the amount of light entering into the iris that changes the size of the unique features in the iris.One of the solutions to this problem is by finding any technique or algorithm to automatically detect the unique features.Therefore a new model is introduced which is called Crypt Edge Detection which combines PSO,Label Matrix,and Bi-Cubic Interpolation for Iris Recognition (PSOLB) to solve the problem of detection in iris features.In this research, the unique feature known as crypts has been chosen due to its accessibility and sustainability.Feature detection is performed using particle swarm optimisation (PSO) as an algorithm to select the best iris texture among the unique iris features by finding the pixel values according to the range of selected features.Meanwhile, label matrix will detect the edge of the crypt and the bi-cubic interpolation technique creates sharp and refined crypt images.In order to evaluate the proposed approach,FAR and FRR are measured using Chinese Academy of Sciences' Institute of Automation (CASIA) database for high quality images.For CASIA version 3 image databases, the crypt feature shows that the result of FRR is 21.83% and FAR is 78.17%.The finding from the experiment indicates that by using the PSOLB,the intersection between FAR and FRR produces the Equal Error Rate (EER) with 0.28%,which indicated that equal error rate is lower than previous value, which is 0.38%.Thus,there are advantages from using PSOLB as it has the ability to adapt with unique iris features and use information in iris template features to determine the user.The outcome of this new approach is to reduce the EER rates since lower EER rates can produce accurate detection of unique features.In conclusion,the contribution of PSOLB brings an innovation to the extraction process in the biometric technology and is beneficial to the communities.…”
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Local-based stereo matching algorithm using multi-cost pyramid fusion, hybrid random aggregation and hierarchical cluster-edge refinement by Kadmin, Ahmad Fauzan

“…The stereo vision algorithm computes disparity using local, global, and semiglobal optimisation methods established by the researcher. …”
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Photogrammetric low-cost unmanned aerial vehicle for pothole detection mapping / Shahrul Nizan Abd Mukti by Abd Mukti, Shahrul Nizan

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Handwriting Recognition Using Artificial Neural Network by Goh , Siew Yin

“…Meanwhile, the feature extraction scheme applies the combination of five distinct methods. They are Edge Detection, Kirsch Edge Detection, Line Intersection Detection, Alphabet Profile Feature and Modified Alphabet Encoder, while Image Processing involves the process of noise removal from the scanned grayscale image alphabets. …”
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Iban Plaited Mat Motif Classification using Adaptive Smoothing by Silvia, Joseph

“…To address this issue, an improved classification method with adaptive smoothing is proposed. This method utilizes dynamic thresholds for edge detection and uses morphological operations to enhance the smoothed edges. …”
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Image segmentation method for boundary detection of breast thermography using random walkers by Moghbel, Mehrdad

“…In breast thermography diagnostic, proper detection and segmentation of the areola area as well as detection of breast boundaries present the biggest challenge. …”
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Face expression recognition using artificial neural network (ANN) / Mazuraini Ghani by Ghani, Mazuraini

“…The last is to study and experiment the suitable edge detection techniques for binary facial image. …”
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2D and 3D video scene text classification by Xu, J., Shivakumara, P., Lu, T., Tan, C.L.

“…This outputs Stable Potential Text Candidates (SPTCs). For each , PTC, the method obtains text representatives with the help of the edge image of the input frame. …”
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A Design Of License Plate Recognition System Using Convolutional Neural Network by Ahmad Radzi, Syafeeza, Piramli, Muhamad Marzuki, Wong, Yan Chiew, Abdul Hamid, Norihan, Ali, Nur Alisa, Mat Ibrahim, Masrullizam

“…Several preprocessing algorithms such as Sobel operator edge detection, morphological operation and connected component analysis have been used to localize the license plate, isolate and segment the characters respectively before feeding the input to CNN. …”
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