Search Results - (( _ segmentation using algorithm ) OR ( using code using algorithm ))

Refine Results
  1. 1

    A new corner detection algorithm for chain code representation. by Haron , Habibollah, Shamsuddin , Siti Mariyam, Mohamed, Dzulkifli

    Published 2005
    “…Computational phases to derive values of rows and columns given a series of chain code are also given in detail. The algorithm can be used to interpret line drawing that represents three-dimensional object. …”
    Get full text
    Get full text
    Article
  2. 2

    Detection of head position using chain code algorithm by Fuad, Norfaiza

    Published 2007
    “…Features from the image are train using the Chain Code Algorithm (CCA) to do recognition of the crux human head then do detecting process. …”
    Get full text
    Get full text
    Thesis
  3. 3

    Detection of head position using chain code algorithm by Fuad, Norfaiza

    Published 2007
    “…Features from the image are train using the Chain Code Algorithm (CCA) to do recognition of the crux human head then do detecting process. …”
    Get full text
    Get full text
    Thesis
  4. 4

    Superpixel Sizes using Topology Preserved Regular Superpixel Algorithm and their Impacts on Interactive Segmentation by Kok Luong, Goh, Soo See, Chai, Giap Weng, Ng, Muzaffar, Hamzah

    Published 2022
    “…Interactive Image Segmentation is a type of semiautomated segmentation that uses user input to extract the object of interest. …”
    Get full text
    Get full text
    Get full text
    Article
  5. 5

    Old Jawi manuscript: Digital recognition / Zaidi Razak by Zaidi, Razak

    Published 2016
    “…The literature review in this research looks at works conducted in the past on line and character segmentation as well as recognition systems. The information gathered is useful for the development of a line segmentation algorithm, a new character segmentation algorithm, as well as a recognition algorithm which is based on the use of a unique code and Hamming distance calculation. …”
    Get full text
    Get full text
    Thesis
  6. 6

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  7. 7

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
    Get full text
    Get full text
    Get full text
    Book
  8. 8

    Development of new code for optical code division multiple access systems by Hilal Adnan, Fadhil

    Published 2011
    “…Splitting algorithm is proposed to construct the new code families namely RD code. …”
    Get full text
    Thesis
  9. 9

    Development of images segmentation using image thresholder and batch processing technique on the blood smears by Al-Shoukry, Suhad, Zalili, Musa, Amer, Duha, Kareem, Safaa Muhsen

    Published 2022
    “…A new segmentation technique with each pixel in the image has its own threshold is developed in response to the fact that standard threshold-based segmentation algorithms only establish one or many thresholds, making it difficult to extract the complex information in an image. …”
    Get full text
    Get full text
    Get full text
    Article
  10. 10

    Real-Time Implementation Of LPC-10 Codec On TMS320C6713 DSP by Talib Alshammari, Wissam

    Published 2012
    “…This thesis implements LPC-10 analysis and synthesis using Matlab and C coding. LPC-10 have been compared with some other speech compression algorithms like pulse code modulation (PCM), differential pulse code modulation (DPCM), and code excited linear prediction coding (CELP), in term of segmental signal to quantization noise ratio SEG-SQNR and mean squared error MSE using Matlab simulation. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  11. 11

    Image processing for robot vision application using matlab by Cheong, W.L

    Published 2010
    “…The source code is written in MATLAB. The segmentation using edge detection „Sobel Edge Detector‟ and color segmentation using L*a*b* color space are found to be useful in develop the GUI application. …”
    Get full text
    Get full text
    Get full text
    Final Year Project Report / IMRAD
  12. 12

    Codebook excited linear predictive coding by Shah, Asadullah, Shaikh, Muniba

    Published 2011
    “…In standard Codebook Exited Linear Coding (CELP) the encoding method uses random values for excitation vectors. …”
    Get full text
    Get full text
    Get full text
    Book Chapter
  13. 13

    Real-Time Face Detection And Tracking Using Software And Hardware Design by Chen, Kok Keat

    Published 2018
    “…For FPGA implementation the entire face detection algorithm was implemented on Cyclone IV FPGA device using Altera DE2-115. …”
    Get full text
    Get full text
    Monograph
  14. 14

    Iris Segmentation Analysis using Integro-Differential Operator and Hough Transform in Biometric System by Zainal Abidin, Zaheera, -, M.Manaf, Shibghatullah, Abdul Samad, -, S.H.A.Mohd Yunos, -, S.Anawar, -, Z.Ayop

    Published 2012
    “…Then the image captured is segmented and normalized for encoding process. The matching technique, Hamming Distance, is used to match the iris codes of iris in the database weather it is same with the newly enrolled for verification stage. …”
    Get full text
    Get full text
    Article
  15. 15
  16. 16

    Iris Segmentation Analysis Using Integro-Differential Operator And Hough Transform In Biometric System by Zainal Abidin, Zaheera, Anawar, Syarulnaziah, Ayop, Zakiah, Manaf, Mazani, Shibghatullah, A.S., Mohd Yunos, S.H.A.

    Published 2012
    “…Iris segmentation is foremost part of iris recognition system.There are four steps in iris recognition: segmentation,normalization,encoding and matching.Here, iris segmentation has been implemented using Hough Transform and IntegroDifferential Operator techniques.The performance of iris recognition system depends on segmentation and normalization technique.Iris recognition systems capture an image from individual eye.Then the image captured is segmented and normalized for encoding process.The matching technique,Hamming Distance,is used to match the iris codes of iris in the database weather it is same with the newly enrolled for verification stage.These processes produce values of average circle pupil,average circle iris,error rate and edge points.The values provide acceptable measures of accuracy False Accept Rate (FAR) or False Reject Rate (FRR).Hough Transform algorithm,provide better performance,at the expense of higher computational complexity.It is used to evolve a contour that can fit to a non-circular iris boundary.However,edge information is required to control the evolution and stopping the contour.The performance of Hough Transform for CASIA database was 80.88% due to the lack of edge information.The GAR value using Hough Transform is 98.9% genuine while 98.6% through Integro-Differential Operator.…”
    Get full text
    Get full text
    Get full text
    Article
  17. 17
  18. 18

    Recognition of the cursive handwritten courtesy amounts of Malaysian bank cheques. by Sulaiman, Md. Nasir, Khalid, Marzuki

    Published 2001
    “…A three layer Neural Network architecture with the new error function of backpropagation learning algorithm is used as recogniser. This approach yields good recognition results with faster convergence rates.…”
    Get full text
    Get full text
    Conference or Workshop Item
  19. 19

    Implementation of RBG-HS-CbCr skin colour model using mobile python PyS60 by Ngui,, Lin Hui.

    Published 2009
    “…Experimental results are obtained through test s conducted and after several analyses; it is found out that RGB - H - CbCr presents the best algorithm to be used in e xtracting the human skin colour, after a slight modification.…”
    Get full text
    Get full text
    Get full text
    Final Year Project Report / IMRAD
  20. 20

    Development of an intelligent multimodal biometric system for household appliances control by Abiodun musa, Aibinu

    Published 2012
    “…To this effect, a novel skin segmentation algorithm using artificial neural network (ANN) technique was developed and this was deployed to segment the palmprint and face images from the background. …”
    Get full text
    Get full text
    Get full text
    Monograph