Search Results - (( new evaluation case algorithm ) OR ( shape identification using algorithm ))

Image segmentation method for boundary detection of breast thermography using random walkers by Moghbel, Mehrdad

“…The developed algorithm needs no human intervention until the final result is displayed to the user, if the user is not satisfied with the segmentation results he/ she can appoint new seeds interactively to fine tune the segmentation. …”
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Content-based indexing of low resolution documents by Md Nor, Danial

“…A new algorithm that can be used with integrated visual signatures, especially in late fusion query was introduced. …”
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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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Human identification at a distance using body shape information by Alang Md Rashid, Nahrul Khair, Yahya, M. F., Shafie, Amir Akramin

“…This paper presents an intelligent system approach for human identification at a distance using human body shape information. …”
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Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning by Safa, Soodabeh

“…Most of the existing plant identification methods are based on both the global shape features and the intact plant leaves. …”
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Tag clouds algorithm with the inclusion of personality traits by Ahmad Affandi, Supli

“…This study focuses on two visual features associated with personality traits, which are colors and shapes. To achieve the aim of this study, Design Science methodology was used through three main phases: problem identification, design of solution, and evaluation. …”
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Feature identification in a real surface metrology analysis by means of Double Iteration Sobel (DIS) / Ainaa Farhanah Mohd Razali by Mohd Razali, Ainaa Farhanah

“…The system algorithm is verified and validates on two sloped bumps surface topographies that have been simulated using MATLAB software and measured using the Alicona Infinite Focus Measurement (IFM) device, respectively. …”
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New algorithm for evaluation of electric fields due to indirect lightning strike by Izadi, Mahdi, Ab Kadir, Mohd Zainal Abidin

“…In addition, this proposed algorithm can also be used to evaluate the effect at the far distance cases of observation point from lightning channel.…”
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The Effect Of Linkages In The Hierarchical Clustering Of Auto-Regressive Algorithm For Defect Identification In Heat Exchanger Tubes by Abd Halim, Zakiah, Jamaludin, Nordin, Putra, Azma

“…The AR algorithm characterizes the shape of the stress wave signals by AR coefficients and clustered using ‘centroid’ linkages. …”
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Identification of Freeform Depression Feature in a Part Using Vertex Attributes From Feature Volume / Pramod S Kataraki and Mohd Salman Abu Mansor by Kataraki, Pramod S, Abu Mansor, Mohd Salman

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Identification of material properties of composite plates using Fourier-generated frequency response functions by Tam, Jun Hui, Ong, Zhi Chao, Lau, Chun Lek, Ismail, Zubaidah, Ang, Bee Chin, Khoo, Shin Yee

“…The present research adopts the use of Fourier-based plate model to synthesize FRFs for its proven prominent accuracy and incorporates with a hybrid optimization algorithm. …”
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Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques by Ahmed Sabit, Hakilo

“…A high speed data acquisition card DAS1800HC is used to interface the sensors to a personal computer which processes the data using linear back projection algorithm (LBPA) and filtered back projection algorithm (FBPA). …”
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Case Slicing Technique for Feature Selection by A. Shiba, Omar A.

“…This new approach called Case Slicing Technique (CST). …”
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An experimental evaluation of case slicing as a new classification technique by Shiba, Omar A. A., Sulaiman, Md. Nasir, Ahmad, Fatimah, Mamat, Ali

“…Several such techniques may be compared by experimentally evaluating their performance on the same datasets. The goal of this paper is to evaluate the case slicing technique as a new classification technique. …”
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Simulation Models for Straight Lines Images Detection Using Hough Transform by Qussay, Abbas Salih Al-Badri

“…The HT is a technique which is used to isolate curves of a given shape in an image. …”
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Abnormal shape segmentation of red blood cell using image processing / Nur Raihan Ja’afar ... [et al.] by Ja’afar, Nur Raihan, Zainol Abidin, Siti Nazifah, Abu Mangshor, Nur Nabilah, Abdul Kadir, Siti Aisyah, Ahmad Zukri, Nurul Hidayah

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Classification of Citrus (Rutaceae) by Using Image Processing by Najwa Bari'ah Mohd Tabri

“…A machine learning algorithms, SVM have been used to build species identification models. …”
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Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom by Masrom, Suraya

“…However, in many cases, implementing the suitable hybrid algorithms for a given optimization problem is a considerably difficult, which in most cases, is time consuming. …”
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Experimental analysis of racing car chassis for Modal Identification / M. N. Aizat Zainal ...[et al.] by Aizat Zainal, M. N., Anuar, M. Azhan, Mat Isa, A.A, Adenan, M. Shahriman

“…., natural frequencies and mode shapes) of a racing car chassis using Operational Modal Analysis (OMA). …”
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Vision-based flame analysis using motion and Edge Detection by Razmi, Suzilawati Mohd, Saad, Nordin, Asirvadam, Vijanth Sagayan

“…This paper stresses on the flame detection algorithm. The results show that detection of flame using motion amp; shape features can be achieved by using Background Subtraction and Edge Detection approach.…”
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