Fusion and optimized Gabor filter design for object detection

1995 ◽  
Author(s):  
David Weber ◽  
David P. Casasent
Keyword(s):  
Object Detection ◽  
Filter Design ◽  
Gabor Filter

scholarly journals Fuzzified Circular Gabor Filter for Circular and Near-Circular Object Detection

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 96706-96713 ◽  
Author(s):  
Vladimir Tadic ◽  
Akos Odry ◽  
Attila Toth ◽  
Zoltan Vizvari ◽  
Peter Odry
Keyword(s):  
Object Detection ◽  
Gabor Filter ◽  
Circular Object ◽  
Circular Gabor Filter

scholarly journals A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 678
Author(s):  
Vladimir Tadic ◽  
Tatjana Loncar-Turukalo ◽  
Akos Odry ◽  
Zeljen Trpovski ◽  
Attila Toth ◽  
...  
Keyword(s):  
Object Detection ◽  
Detection Method ◽  
Gabor Filter ◽  
Low Cost ◽  
Fuzzy Optimization ◽  
Detection Performance ◽  
Text Detection ◽  
License Plate ◽  
2D Gabor Filter ◽  
Fine Tune

This note presents a fuzzy optimization of Gabor filter-based object and text detection. The derivation of a 2D Gabor filter and the guidelines for the fuzzification of the filter parameters are described. The fuzzy Gabor filter proved to be a robust text an object detection method in low-quality input images as extensively evaluated in the problem of license plate localization. The extended set of examples confirmed that the fuzzy optimized Gabor filter with adequately fuzzified parameters detected the desired license plate texture components and highly improved the object detection when compared to the classic Gabor filter. The robustness of the proposed approach was further demonstrated on other images of various origin containing text and different textures, captured using low-cost or modest quality acquisition procedures. The possibility to fine tune the fuzzification procedure to better suit certain applications offers the potential to further boost detection performance.

scholarly journals Minutea Object Extraction in Fingerprint Image Using Morphological Methods and Gabor Filters

KOMTEKINFO ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 32-40
Author(s):  
Julius Santony
Keyword(s):  
Edge Detection ◽  
Object Detection ◽  
Gabor Filter ◽  
Extraction Process ◽  
Gabor Filters ◽  
Object Extraction ◽  
Original Image ◽  
Fingerprint Image ◽  
Minutiae Extraction

Minutiae is part of the fingerprint, which is the point where the fingerprint line stops or branches, which can be observed by scanning at a resolution of 500 pp. a fingerprint has minutiae that range from 50-100 pieces scattered throughout the surface of the fingerprint. To clarify the fingerprint can be done by extracting the minutiae contained in the fingerprint. With this extraction process, fingerprint images can be clarified, so identification of a fingerprint will be easy to do. This research extracts minutiae objects in the fingerprint image, so that the fingerprint line object can be seen clearly. The first stage in this research is object detection and edge detection using morphological methods. The next step is the extraction of minutiae objects with the gabor filter and minutiae extraction . The results obtained can display the fingerprint line of the fingerprint image clearly. From the results of testing 10 fingerprint images proved that the minutiae object in the image can be extracted, so that the fingerprint line of the image is clearer than the original image

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