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Stereo Matching Algorithm Based On Per Pixel Difference Adjustment, Iterative Guided Filter And Graph Segmentation by Hamzah, Rostam Affendi, Ibrahim, Haidi, Abu Hassan, Anwar Hasni

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Mathematical snalysis of blood vessels segmentation based on three retinal images datasets by Bilal, Sara Mohammed Osman Saleh, Munir, Fatin, Khalifa, Othman Omran

“…In this work, three basic algorithms for segmenting retinal blood vessels, based on different image processing techniques which are Matched filter, Hough transform and Morphological operations are used and their strengths and weaknesses in terms of retinal images segmentation are compared mathematically. …”
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Blood vessels segmentation based on three retinal images datasets by Bilal, Sara Mohammed Osman Saleh, Munir, Fatin, Karbasi, Mostafa

“…The results show that measuring the automatic segmentation algorithm performance is based mainly on how the retinal images are acquired as well as the image processing technique used for segmentation. …”
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Development of saliency metric for autonomous landmark selection in cognitive robot navigation / Gao Hanyang by Gao , Hanyang

“…The dissertation follows three objectives; to segment urban landmarks in an image, to develop an algorithm to quantify visual salience indicators for urban landmarks extraction, and to compare the performance of proposed algorithm in extracting urban landmarks between robot and human. …”
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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 estimation of Stereo Matching Algorithm (SMA) is one of the extensive research topics for obtaining the disparity map from two images. …”
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Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs by Harandi, Bahareh Kalantar Ghorashi

“…In the past, MOD was mainly tackled using image registration, which discovers correspondences between consecutive frames using pair-wise grayscale spatial visual appearance matching under rigid and affine transformations. …”
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Face Detection System / Chan Beh Teng by Chan, Beh Teng

“…Skin regions are then separated from skin regions by segmenting the gray-scale image. After that, the system will locate the frontal human face(s) within the skin regions, using template matching. …”
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A framework for multiple moving objects detection in aerial videos by Kalantar, Bahareh, Abdul Halin, Alfian, Al-Najjar, Husam Abdulrasool H., Mansor, Shattri, Genderen, John L. Van, M. Shafri, Helmi Zulhaidi, Zand, Mohsen

“…Firstly, each frame goes through super-pixel segmentation to produce regions where each frame is then represented as a region adjacency graph structure of visual appearance and geometric properties. …”
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Anomaly detection for vision-based inspection by Chew, Yan Zhe

“…This study aims to implement visual inspection systems using both approaches and determine the suitability of each approach for visual anomaly detection. …”
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Computed tomography and echocardiography image fusion technique for cardiac images by Kalahroodi, Samaneh Mazaheri

“…It is a new geometrically level Set algorithm for the segmentation of the endocardial contours in echocardiographic images in presence of intensity non-uniformity. …”
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Haze removal algorithm using improved restoration model based on dark channel prior / Dai Zhen by Dai , Zhen

“…Among many studies, the dark channel prior (DCP) dehazing algorithm is a major breakthrough in the field of image dehazing technology, and this algorithm has the advantages of simple, real-time and effective, while the limitation is that its shortcomings are mainly on the atmospheric scatting physical model over-reliance, and cannot be chosen to match the size of the filter temple, the lack of applicability of the sky and the image after the dark side. …”
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Computer aided system for dendritic cells detection and counting by Muhd Suberi, Anis Azwani

“…Another highly promising method which is Phase Contrast Microscopy (PCM) involves experienced pathologists to visually examine the respective microscopy images. …”
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Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System by Al_Fugara, A’kif Mohammed Salem

“…The land use/cover classes were derived from interpreted information of Landsat TM imagery using the combined object-oriented segmentation - fuzzy logic algorithm. The DEM of 90m resolution, used to calculate slopes that generated runoffs, was derived from radar data sets (C-band) of the Shuttle Radar Topography Mission (SRTM) using the interferometric approach. …”
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