Brightness preserving dynamic fuzzy histogram equalization

“…Contrast enhancement for images in turbid water (37) is a contrast enhancement method, which is presented the method for correcting the illumination lost by propagation of an underwater image, whereas this work focused on light reflecting, scattering, and light distribution. Then, the fuzzy dynamic histogram equalization (38) was used to enhance the ABS image and minimize the pixel fluctuation without removing defects and noise. This technique consists of the following four steps.…”

Section: Fuzzy Dynamic Histogram Equalizationmentioning

confidence: 99%

A Practical Low-Cost Machine Vision Sensor System for Defect Classification on Air Bearing Surfaces

2017

Sensors and Materials

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Keywords: air bearing surface, head gimbal assembly, defect detection, machine vision, region of interestIn this paper, we present a newly adapted machine vision method and a practical low-cost machine vision sensor for defect classification of the air bearing surfaces (ABSs) of a hard disk drive, which controls the flying height of the recording heads moving above a disk in operation. A defective ABS can cause poor reading and writing performance; hence, it is necessary to verify its integrity before assembling it into the final product. The proposed sensor system was designed and implemented to detect defects by an effective combination of image segmentation and block matrix techniques as well as classifying them using an expert system under dark-and bright-field conditions. Our system processes subregions of interest and sub-blocks in parallel so that they can take advantage of multiple processor cores. From the trial runs, the small fractional error and low average processing time suggested that our proposed system is effective and can be used in an industrial assembly line.

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“…Dualistic Sub-image Histogram Equalization (DSIHE) [2] and Minimum Mean Brightness Error Bi-histogram Equalization (MMBEBHE) [8]) and techniques that employ multi-histogram equalization (e.g. Recursive Mean-Separate Histogram Equalization (RMSHE) [9], Recursive Sub-image Histogram Equalization (RSIHE) [10], Dynamic Histogram Equalization (DHE) [4] and Brightness Preserving Dynamic Histogram Equalization (BPDHE) [11]). …”

Section: Related Workmentioning

confidence: 99%

An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving

Tang

Isa

2014

J. ICT.Res.Appl.

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Abstract. This paper modifies the Adaptive Contrast Enhancement Algorithm with Details Preserving (ACEDP) technique by integrating a fuzzy element in the image type selection. The proposed technique, named the Adaptive Fuzzy Contrast Enhancement with Details Preserving (AFCEDP) technique, first computes the degree of membership of the input image to three categories, i.e. low-, middle-or high-level images. The AFCEDP technique then clips the histogram at different plateau limits that are computed from both the degree of membership and the clipping functions. The classification of an image in the ACEDP technique is done based solely on the intensity range of the maximum number of pixels, which may be inaccurate. In the proposed AFCEDP technique, the image type classification is handled in a better way with the integration of a fuzzy element. The performance of the proposed AFCEDP technique was compared with the conventional ACEDP technique and several state-of-art techniques described in the literature. The simulation results revealed that the AFCEDP technique demonstrates good capability in contrast enhancement and detail preservation. In addition, the experiments using cervical cell images and HEp-2 cell images showed great potential of the AFCEDP technique as a technique for enhancing medical microscopic images.

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Brightness preserving dynamic fuzzy histogram equalization

Cited by 341 publications

References 7 publications

Comparison of Denoising Filters on Greyscale TEM Image for Different Noise

Comparison of Denoising Filters on Greyscale TEM Image for Different Noise

A Practical Low-Cost Machine Vision Sensor System for Defect Classification on Air Bearing Surfaces

An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving

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