ISSN 2394-5125
 

Research Article 


DETECTION AND CLASSIFICATION OF CRACK IN HERITAGE STRUCTURES USING MACHINE LEARNING TECHNIQUES

P.Ramani, Dr.V.Subbiah Bharathi.

Abstract
Crack is one of the most important surfaces damage to the monuments, concrete structures, buildings, and roads. Manual inspection of damages is a very difficult task and time-consuming. Measurements of crack irregularities are difficult and need for more expertise. So, automatic crack detection using image processing is developed. The detection of crack requires careful attention to the following issues: crack length, width, multiple cracks, location, orientation and depth. The proposed method provides the detection of crack, classification and recognition of crack decay. Performance parameters are measured using MSE and PSNR. It is classified using SVM and Validated. The accuracy, Specificity and Precision of proposed methods are 92%,90% and 91% improves than Existing method.

Key words: Ultrasonic testing, Infrared Thermography, Morphological operation, degradation , SVM, Accuracy


 
ARTICLE TOOLS
Abstract
PDF Fulltext
How to cite this articleHow to cite this article
Citation Tools
Related Records
 Articles by P.Ramani
Articles by Dr.V.Subbiah Bharathi
on Google
on Google Scholar


How to Cite this Article
Pubmed Style

P.Ramani, Dr.V.Subbiah Bharathi. DETECTION AND CLASSIFICATION OF CRACK IN HERITAGE STRUCTURES USING MACHINE LEARNING TECHNIQUES. JCR. 2020; 7(19): 1595-1600. doi:10.31838/jcr.07.19.195


Web Style

P.Ramani, Dr.V.Subbiah Bharathi. DETECTION AND CLASSIFICATION OF CRACK IN HERITAGE STRUCTURES USING MACHINE LEARNING TECHNIQUES. http://www.jcreview.com/?mno=108092 [Access: July 22, 2020]. doi:10.31838/jcr.07.19.195


AMA (American Medical Association) Style

P.Ramani, Dr.V.Subbiah Bharathi. DETECTION AND CLASSIFICATION OF CRACK IN HERITAGE STRUCTURES USING MACHINE LEARNING TECHNIQUES. JCR. 2020; 7(19): 1595-1600. doi:10.31838/jcr.07.19.195



Vancouver/ICMJE Style

P.Ramani, Dr.V.Subbiah Bharathi. DETECTION AND CLASSIFICATION OF CRACK IN HERITAGE STRUCTURES USING MACHINE LEARNING TECHNIQUES. JCR. (2020), [cited July 22, 2020]; 7(19): 1595-1600. doi:10.31838/jcr.07.19.195



Harvard Style

P.Ramani, Dr.V.Subbiah Bharathi (2020) DETECTION AND CLASSIFICATION OF CRACK IN HERITAGE STRUCTURES USING MACHINE LEARNING TECHNIQUES. JCR, 7 (19), 1595-1600. doi:10.31838/jcr.07.19.195



Turabian Style

P.Ramani, Dr.V.Subbiah Bharathi. 2020. DETECTION AND CLASSIFICATION OF CRACK IN HERITAGE STRUCTURES USING MACHINE LEARNING TECHNIQUES. Journal of Critical Reviews, 7 (19), 1595-1600. doi:10.31838/jcr.07.19.195



Chicago Style

P.Ramani, Dr.V.Subbiah Bharathi. "DETECTION AND CLASSIFICATION OF CRACK IN HERITAGE STRUCTURES USING MACHINE LEARNING TECHNIQUES." Journal of Critical Reviews 7 (2020), 1595-1600. doi:10.31838/jcr.07.19.195



MLA (The Modern Language Association) Style

P.Ramani, Dr.V.Subbiah Bharathi. "DETECTION AND CLASSIFICATION OF CRACK IN HERITAGE STRUCTURES USING MACHINE LEARNING TECHNIQUES." Journal of Critical Reviews 7.19 (2020), 1595-1600. Print. doi:10.31838/jcr.07.19.195



APA (American Psychological Association) Style

P.Ramani, Dr.V.Subbiah Bharathi (2020) DETECTION AND CLASSIFICATION OF CRACK IN HERITAGE STRUCTURES USING MACHINE LEARNING TECHNIQUES. Journal of Critical Reviews, 7 (19), 1595-1600. doi:10.31838/jcr.07.19.195





Most Viewed Articles
  • ANALYTICAL RESULTS OF SLOPE FAILURE AND EFFECTIVE USE OF FLYCAM DATA: A CASE STUDY FROM KM 11 TO KM 13 ON THE 3B HIGHWAY, BACKAN PROVINCE OF VIETNAM
    VIETHA NGUYEN, HONGTHINH PHI, TRUONGTHANH PHI*
    JCR. 2020; 7(1): 1-5
    » Abstract » doi: 10.22159/jcr.07.01.01

  • ZOOTHERAPY AMONG THE ETHNIC GROUPS OF NORTH EASTERN REGION OF INDIA-A CRITICAL REVIEW
    KHIROD SANKAR DAS, SUDIPTA CHOUDHURY, K. CHANREILA L. NONGLAIT
    JCR. 2017; 4(2): 1-9
    » Abstract » doi: 10.22159/jcr.2017v4i2.14698

  • CADMIUM NANOPARTICLES AND ITS TOXICITY
    RAJNISH GUPTA
    JCR. 2019; 6(5): 1-7
    » Abstract » doi: 10.22159/jcr.2019v6i5.34073

  • RECENT THERAPEUTIC PROGRESS OF CHALCONE SCAFFOLD BEARING COMPOUNDS AS PROSPECTIVE ANTI-GOUT CANDIDATES
    DEBARSHI KAR MAHAPATRA, VIVEK ASATI, SANJAY KUMAR BHARTI
    JCR. 2019; 6(1): 1-5
    » Abstract » doi: 10.22159/jcr.2019v6i1.31760

  • ADVANCES OF HYDRAZONE LINKER IN POLYMERIC DRUG DELIVERY
    SHIVSHANKAR R. MANE
    JCR. 2019; 6(2): 1-4
    » Abstract » doi: 10.22159/jcr.2019v6i2.31833

  • Most Downloaded
  • CADMIUM NANOPARTICLES AND ITS TOXICITY
    RAJNISH GUPTA
    JCR. 2019; 6(5): 1-7
    » Abstract » doi: 10.22159/jcr.2019v6i5.34073

  • Multi Drug Resistance in Cancer Therapy-An Overview
    HARISH KADKOL, VIKAS JAIN, AMIT B PATIL*
    JCR. 2019; 6(6): 1-6
    » Abstract » doi: 10.22159/jcr.2019v6i6.35673

  • AN OVERVIEW ON MEDICINAL PLANTS FOR THE TREATMENT OF ACNE
    D. MANOGNA REDDY, VIKAS JAIN
    JCR. 2019; 6(6): 7-14
    » Abstract » doi: 10.22159/jcr.2019v6i6.35696

  • QUANTITATIVE ANALYSIS OF BIOLOGICAL NITROGEN FIXATION IN VARIOUS MODELS OF LEGUMES AND THE FACTORS INFLUENCING THE PROCESS: A REVIEW
    SAMEER SHARMA, ANIKET MALAGE, SIBI G.
    JCR. 2019; 6(6): 24-28
    » Abstract » doi: 10.22159/jcr.2019v6i6.35637

  • ANALYTICAL RESULTS OF SLOPE FAILURE AND EFFECTIVE USE OF FLYCAM DATA: A CASE STUDY FROM KM 11 TO KM 13 ON THE 3B HIGHWAY, BACKAN PROVINCE OF VIETNAM
    VIETHA NGUYEN, HONGTHINH PHI, TRUONGTHANH PHI*
    JCR. 2020; 7(1): 1-5
    » Abstract » doi: 10.22159/jcr.07.01.01

  • Most Cited Articles
  • ZOOTHERAPY AMONG THE ETHNIC GROUPS OF NORTH EASTERN REGION OF INDIA-A CRITICAL REVIEW
    KHIROD SANKAR DAS, SUDIPTA CHOUDHURY, K. CHANREILA L. NONGLAIT
    JCR. 2017; 4(2): 1-9
    » Abstract » doi: 10.22159/jcr.2017v4i2.14698
    Cited : 1 time [Click to see citing article]