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gabor filters  (MathWorks Inc)


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    MathWorks Inc gabor filters
    Gabor Filters, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/gabor filters/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    gabor filters - by Bioz Stars, 2026-03
    90/100 stars

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    Process diagram of image pre-processing where each step is represented with a block. Block ( A ): artefacts present in the original mammograms are removed using various methods: binary masking, morphological opening, and largest contour detection resulting in artefact free mammograms; ( B ) lines attached to the breast part of the mammograms are removed using various methods: inRange Operation, Gabor filter, Morphological opening, and Invert mask operation; ( C ) image enhancement techniques: Gamma correction, CLAHE, and Green Fire Filter of ImageJ software; and finally in Block ( D ) quality of the enhanced images is verified using image statistical analysis.

    Journal: Biology

    Article Title: BreastNet18: A High Accuracy Fine-Tuned VGG16 Model Evaluated Using Ablation Study for Diagnosing Breast Cancer from Enhanced Mammography Images

    doi: 10.3390/biology10121347

    Figure Lengend Snippet: Process diagram of image pre-processing where each step is represented with a block. Block ( A ): artefacts present in the original mammograms are removed using various methods: binary masking, morphological opening, and largest contour detection resulting in artefact free mammograms; ( B ) lines attached to the breast part of the mammograms are removed using various methods: inRange Operation, Gabor filter, Morphological opening, and Invert mask operation; ( C ) image enhancement techniques: Gamma correction, CLAHE, and Green Fire Filter of ImageJ software; and finally in Block ( D ) quality of the enhanced images is verified using image statistical analysis.

    Article Snippet: , Gabor Filter , cv2.getGaborKernel() , Kernel size = (5, 5), sigma = 3, theta = 1*np.pi/1, lambd = 1*np. Pi/4, gamma = 0.5, phi = 20 and ktype=cv2.CV_32F.

    Techniques: Blocking Assay, Software