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

Non-Distortion-Specific No-Reference Image Quality Assessment:A Survey by Abdul Manap, Redzuan, Shao, Ling

“…Over the last two decades,there has been a surge of interest in the research of image quality assessment due to its wide applicability to many domains.In general,the aim of image quality assessment algorithms is to evaluate the perceptual quality of an image using an objective index which should be highly consistent with the human subjective index.The objective image quality assessment algorithms can be classified into three main classes: full-reference,reduced-reference,and no-reference.While full-reference and reduced-reference algorithms require full information or partial information of the reference image respectively,no reference information is required for no-reference algorithms.Consequently,a no-reference (or blind) image quality assessment algorithm is highly preferred in cases where the availability of any reference information is implausible.In this paper,a survey of the recent no-reference image quality algorithms,specifically for non-distortion-specific cases,is provided in the first half of this paper.Two major approaches in designing the non-distortion-specific no-reference algorithms,namely natural scene statistics-based and learning-based,are studied.In the second half of this paper,their performance and limitations are discussed before current research trends addressing the limitations are presented.Finally,possible future research directions are proposed towards the end of this paper.…”
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Diagnosis of diabetic retinopathy: Automatic extraction of optic disc and exudates from retinal images using Marker-controlled watershed transformation by Reza, A.W., Eswaran, C., Dimyati, K.

“…The performance of the proposed algorithm is evaluated using the test images of STARE and DRIVE databases. …”
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Rain streaks removal using total variation and sparse coding based on case based reasoning approach by Shorman S.M., Salam R.A., Sakinah Ali Pitchay

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Denoising of digital images using second generation wavelet transforms-hidden markov model by Khmag, Asem Ib Mohamed

“…Finally, the inverse process can be applied to the wavelet coefficients to restore it back to the original form and attain the denoised image. After applying the denoising algorithm on the contaminated image, the cycling spinning algorithm is applied to increase the visual quality of the restored image. …”
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Execution time optimization analysis on multiple algorithms performance of moving object edge detection by Islam S.Z., Islam S.Z., Jidin R., Mohd. Ali Mohd.A.

“…It is shown that Sobel algorithm is very effective in case of moving multiple cars and blurs images with efficient execution time. …”

Extended development of a Computer Aided Detection (CAD) system for brain bleed in CT / Muhammad Illyas Abdul Muhji by Muhammad Illyas, Abdul Muhji

“…The new develop algorithm is set to register image of brain patient in order to determine the rotation angle for brain realignment. …”
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Wavelet-based compression of medical images: Filter-bank selection and evaluation by Saffor, A., Bin Ramli, A.R., Ng, K.H.

“…Wavelet-based image coding algorithms (lossy and lossless) use a fixed perfect reconstruction filter-bank built into the algorithm for coding and decoding of images. …”
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The Use and Evaluation of Split-Window Techniques for NOAA/AVHRR Surface Temperature Extraction over Different Surface Covers: case study (Perak Tengah & Manjong) area, Malays... by Hassaballa A., Abdul-Haleem, Matori , Abdul Nasir

“…Normalized Difference Vegetation Index (NDVI) and land surface Emissivity (ε) were calculated from image visible bands 1&2. The brightness temperature from bands 4&5 was then used with ε to derive Ts using three different split window algorithms. …”
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Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm by Abdurrahim, Salem Hamed

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Object detection in aerial images using Convolutional Neural Network (CNN) / Wan Nur Alya Athirah Wan Roshdee by Wan Roshdee, Wan Nur Alya Athirah

“…The model's accuracy is recorded and saved for detecting cars in aerial images, evaluated by user input to ensure accurate identification of cars and absence of cars. …”
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Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification by Ling, Hui Yean

“…The objectives of the study included designing soil desiccation experiment setup for desiccation crack image acquisition, evaluating crack imaging analysis based on deep learning algorithms, and quantifying desiccation cracks through image processing techniques. …”
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A study of left ventricular (LV) segmentation on cardiac cine-MR images by Ahad, Md Atiqur Rahman, Jahan, Israt

“…However, it is really a challenging task to segment left ventricular images from magnetic resonance image (MRI). In this paper, we explore several state-of-the-art segmentation algorithms applied on left ventricular (LV) segmentation on cardiac cine-MR images. …”
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Implementation and Evaluation of Large Rsa Encryption and Decryption Keys For Internet Security by H. Belgassem, Seddeq

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Region-growing based segmentation and bag of features classification for breast ultrasound images by Lee, Lay Khoon

“…In the next stage, which is the segmentation stage, region growing algorithm is used to automatically detect tumors in ultrasound images. …”
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Reassembly and clustering bifragmented intertwined jpeg images using genetic algorithm and extreme learning machine by Raad Ali, Rabei

“…However, completely recovering intertwined Bifragmented JPEG images into their original form without missing any parts or data of the image is a challenging due to the intertwined case might occur with non-JPEG images such as PDF, Text, Microsoft Office or random data. …”
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Bleeding classification of enhanced wireless capsule endoscopy images using deep convolutional neural network by Rosdiana, Shahril, Saito, Atsushi, Shimizu, Akinobu, Sabariah, Baharun

“…The proposed technique is applied to WCE images from six cases and divided into one training case and five test cases. …”
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A Novel Approach to Estimate Diffuse Attenuation Coefficients for QuickBird Satellite Images: A Case Study at Kish Island, the Persian Gulf. by Pradhan, Biswajeet, Mohd Shafri, Helmi Zulhaidi, Mansor, Shattri, Kabiri, Keivan, Samim-Namin, Kaveh

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Steganography based on utilizing more surrounding pixels by Afrakhteh, Masoud

“…Conventional LSB method’s concept is used as the benchmark for the proposed algorithms. A model structure selection based on not choosing selected pixels as immediate neighbors of the target pixel is proposed in this study to reduce image’s distortion made by embedding random bits or in other words to get a higher imperceptibility. …”
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A chest lump in a toddler – a report on approach in primary care by Che Ku Mamat, Muhammad Yassir, Shalihin, Mohd Shaiful Ehsan

“…Furthermore, we propose an evidence-based algorithm for evaluating chest wall lumps in primary care settings to inform clinical decision-making.…”
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