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

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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COMPUTER AIDED SYSTEM FOR BREAST CANCER DIAGNOSIS USING CURVELET TRANSFORM by MOHAMED ELTOUKHY, MOHAMED MESELHY

“…Then, the work concentrates on the segmentation of region of interest (ROI). Two methods are suggested to accomplish the segmentation stage: an adaptive thresholding method and a pattern matching method. …”
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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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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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Photogrammetric low-cost unmanned aerial vehicle for pothole detection mapping / Shahrul Nizan Abd Mukti by Abd Mukti, Shahrul Nizan

“…These results confirmed that the UAV is a very useful form of technology in road maintenance applications, at the same time, contributing in alternative method of pothole information extraction. The information gathered is useful for Authorities, concession expressway company and interest party for better road maintenance implementation.…”
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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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Handwriting Recognition Using Artificial Neural Network by Goh , Siew Yin

“…Meanwhile, the feature extraction scheme applies the combination of five distinct methods. …”
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Handwriting recognition using webcam for data entry by Wong , Yoong Xiang

“…Several distinctive feature from each character is extracted using a few feature extraction methods, in which a comparison between three types of feature extraction modules were used. …”
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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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Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients by Moghbel, Mehrdad

“…Based on the location of the lung, the liver dome is automatically detected and the liver is then extracted by random walkers method and refined using a fuzzy level set method. …”
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Handwriting recognition using webcam for data entry by Xiang, W.Y., Sebastian, P.

“…However, the testing were later enhanced with another feature extraction module, which consists of the combination of Character Vector Module, Kirsch Edge Detection Module, Alphabet Profile Feature Extraction Module, Modified Character Module and Image Compression Module. …”
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Edge Detection Algorithm For Image Processing Of Search And Rescue Robot by A/L Sivem, Prasanthran

“…This paper highlights the various edge detection algorithms working method and comparison is made based on the advantages and disadvantages of the algorithms for the identification of an optimum edge detection algorithm. …”
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Multi-Phase Information Theory-Based Algorithm for Edge Detection of Aerial Images by Elaraby, Ahmed, Al-Ameen, Zohair

“…The results of the proposed algorithm had high edge detection ratios as it was able to capture most of the significant edges of the given images. …”
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An adept edge detection algorithm for human knee osteoarthritis images by Zahurul S., Zahidul S., Jidin R.

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The fusion of edge detection and mathematical morphology algorithm for shape boundary recognition by Othman, Mahmod, Syed Abdullah, Sharifah Lailee, Ahmad, Khairul Adilah, Abu Bakar, Mohd Nazari, Mansor, Ab Razak

“…Implementation of the proposed method shows that it is robust and applicable for various kind of fruit images and is more accurate than the existing edge detection algorithms.…”
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A Fast Vertical Edge Detection Algorithm for Car License Plate Detection by Ali Al-Ghaili, Abbas Mohammed

“…This thesis aims to propose a fast vertical edge detector using Vertical Edge Detection Algorithm (VEDA) and to build a Car License Plate Detection (CLPD) method. …”
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A novel steganography algorithm using edge detection and MPC algorithm by Aref Rezaei, Leili Farzinvash, Ali Farzamnia

“…In this paper, we propose an efficient steganography algorithm which applies edge detection and MPC algorithm for data concealment in digital images. …”
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Modified canny edge detection technique for joining discontinued edges by S. K. T. Hwa, Abdullah Bade, Mohd Hanafi Ahmad Hijazi

“…The Canny edge detection technique is regarded as one of the most successful edge detection algorithms because of the good edge detection effect. …”
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Modified canny edge detection technique for identifying endpoints by Kieu, STH, Abdullah Bade, Mohd Hanafi Ahmad Hijazi

“…The Canny edge detection technique is regarded as one of the most successful edge detection algorithms because of the good edge detection effect. …”
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Comparison of edge detection algorithms for texture analysis on copy-move forgery detection images by Idris, Bashir, Abdullah, Lili N., Abdul Halim, Alfian, Abdullah Selimun, Mohd Taufik

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