Search Results - (( java implication based algorithm ) OR ( image evaluation a algorithm ))

Performance evaluation of marker recognition algorithm for mobile augmented reality in the real environment by Siok, Yee Tan, Haslina Arshad

“…Hence, a performance evaluation of the AR algorithm in a real controlled environment is proposed in this paper. …”
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Performance evaluation for different data encryption algorithms on wireless sensor network (WSN) by Mhawesh, Thoalfekarali Zuhair

“…The encryption algorithms are evaluated in turn by applying them to various images, separately. …”
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Modified Contrast Limited Adaptive Histogram Equalization for high dynamic range images by Tung, Li Qian

“…For assessment, a subjective and an objective evaluation were conducted to evaluate the performance of the tone mapping algorithm. …”
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Modified Image Enhancement Algorithm For Dorsal Hand Veins Imaging by Gan, Siew Ling

“…The evaluation results between modified image enhancement algorithm are compared with the existed algorithm. …”
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An improved fast scanning algorithm based on distance measure and threshold function in region image segmentation by Ismael, Ahmed Naser

“…This will transform the image for a better image analysis and evaluation. …”
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Evaluation of the Transfer Learning Models in Wafer Defects Classification by Jessnor Arif, Mat Jizat, Anwar, P. P. Abdul Majeed, Ahmad Fakhri, Ab. Nasir, Zahari, Taha, Yuen, Edmund, Lim, Shi Xuen

“…Each image went through the embedding process by the evaluated algorithms. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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A new multiperspective framework for standardization and benchmarking of image dehazing algorithms by Abdulkareem, Karrar Hameed

“…On the one hand, a standard dataset was tested on the selected criteria and image dehazing algorithms to select the best algorithm. …”
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Haze removal algorithm using improved restoration model based on dark channel prior / Dai Zhen by Dai , Zhen

“…Finally, the haze-free images were obtained. For the haze-free images obtained in this research, the subjective and objective evaluation criteria are adopted. …”
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Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images by Ali Hussein Aboali, Maged Yahya

“…Disparity depth map estimation of stereo matching algorithm is one of the most active research topics in computer vision.In the field of image processing,many existing stereo matching algorithms to obtain disparity depth map are developed and designed with low accuracy.To improve the accuracy of disparity depth map is quite challenging and difficult especially with uncontrolled dynamic environment.The accuracy is affected by many unwanted aspects including random noises,horizontal streaks,low texture,depth map non-edge preserving, occlusion,and depth discontinuities.Thus,this research proposed a new robust method of hybrid stereo matching algorithm with significant accuracy of computation.The thesis will present in detail the development,design, and analysis of performance on Multistage Hybrid Median Filter (MHMF).There are two main parts involved in our developed method which combined in two main stages.Stage 1 consists of the Sum of Absolute Differences (SAD) from Basic Block Matching (BBM) algorithm and the part of Scanline Optimization (SO) from Dynamic Programming (DP) algorithm.While,Stage 2 is the main core of our MHMF as a post-processing step which included segmentation,merging, and hybrid median filtering.The significant feature of the post-processing step is on its ability to handle efficiently the unwanted aspects obtained from the raw disparity depth map on the step of optimization.In order to remove and overcome the challenges unwanted aspects, the proposed MHMF has three stages of filtering process along with the developed approaches in Stage 2 of MHMF algorithm.There are two categories of evaluation performed on the obtained disparity depth map: subjective evaluation and objective evaluation.The objective evaluation involves the evaluation on Middlebury Stereo Vision system and evaluation using traditional methods such as Mean Square Errors (MSE),Peak to Signal Noise Ratio (PSNR) and Structural Similarity Index Metric (SSIM).Based on the results of the standard benchmarking datasets from Middlebury,the proposed algorithm is able to reduce errors of non-occluded and all errors respectively.While,the subjective evaluation is done for datasets captured from MV BLUE FOX camera using human's eyes perception.Based on the results,the proposed MHMF is able to obtain accurate results, specifically 69% and 71% of non-occluded and all errors for disparity depth map, and it outperformed some of the existing methods in the literature such as BBM and DP algorithms.…”
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Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification by Petwan, Montha

“…The performance of FESSIC was evaluated against ten benchmark image classification algorithms and six classifiers on four ground-based sky image datasets. …”
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Evaluation of dynamic programming among the existing stereo matching algorithms by Teo, Chee Huat, Nurulfajar, Abd Manap

“…There are various types of existing stereo matching algorithms on image processing which applied on stereo vision images to get better results of disparity depth map. …”
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Quality assessment methods to evaluate the performance of edge detection algorithms for digital image: a systematic literature review by Haidi Ibrahim

“…Quality assessment methods to evaluate the performance of edge detection algorithms for digital image: a systematic literature review by Haidi Ibrahim…”
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Quantitative analysis evaluation of image reconstruction algorithms between digital and analog PET-CT by Chen, Ew-Jun *, Haniff Shazwan, Safwan Selvam, Lee, Hee Siang, Chew, Ming Tsuey *

“…A novel algorithm, HYPER DPR (developed by United Imaging Healthcare) is an artificial intelligence-based reconstruction method that aims to provide increased sensitivity, higher spatial resolution and less noise. …”
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Image enhancement and segmentation on simultaneous latent fingerprint detection by Rozita, Mohd Yusof

“…Using the proposed algorithm, the segmented images were supplied as the input image for the matching process via a state art of matcher, VeriFinger SDK. …”
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Segmentation of Lung Region in Computed Tomography (CT) Images by Mohd Bokeri, Husna Adila

“…Well segmented lung allows correct selection of region of interest (ROI) and thereby improve the abnormality detection and classification of the lung. In this work, a lung segmentation algorithm for CT images is proposed and evaluated. …”
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Modified algorithm for image watermarking using 2D-DCT and elgamal cryptosystem / Nur Azien Yazid, Kamilah Abdullah and Suhaila Abd Halim by Yazid, Nur Azien, Abdullah, Kamilah, Abd Halim, Suhaila

“…Image watermarking embeds identifying information in an image in such a manner that it cannot easily be removed. …”
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Contrast enhancement for colour images based on discrete wavelet transform by Mohd Zaidi, Noor Afina

“…However, the contrast enhancement algorithm normally challenging to fulfil the desired results so the image processing is executed manually for each specified images. …”
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How Does Image Complexity Affect the Accuracy of an Interactive Image Segmentation Algorithm? by Kok Luong, Goh, Soo See, Chai, Muzaffar, Hamzah, Emily Sing, Kiang Siew

“…This study investigates the impact of image complexity on the accuracy of interactive image segmentation algorithms. …”
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Gray Level Co-Occurrence Matrix (GLCM) and Gabor Features Based No-Reference Image Quality Assessment for Wood Images by Heshalini, Rajagopal, Norrima, Mokhtar, Anis Salwa, Mohd Khairuddin, Wan Khairunizam, Wan Ahmad, Zuwairie, Ibrahim, Asrul, Adam, Wan Amirul, Wan Mohd Mahiyidin

“…Therefore, a Gray Level Co- Occurrence Matrix (GLCM) and Gabor features-based NR-IQA, GGNR-IQA algorithm is proposed to evaluate the quality of wood images. …”
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