Image Processing Methods and Fractal Analysis for Quantitative Evaluation of Size, Shape, Structure and Microstructure in Food Materials

Vibration finishing which is often applied to the metal surfaces recently is the finishing method using a disk-type finishing tool with movements of rotational and orbital motion [1]. However, an application of this finishing method and an evaluation of finished surfaces require skills and sensory examinations. This is because the relations between finishing conditions and quality of finished surfaces are not clear. In recent years, image processing methods for evaluating finished surface roughness and texture analysis were proposed [2 - 5]. However, quantitative evaluation has not been fully done.

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Quantitative Evaluation of Rock Weathering using Image Processing

IEEJ Transactions on Fundamentals and Materials ◽

10.1541/ieejfms.130.507 ◽

2010 ◽

Vol 130 (5) ◽

pp. 507-513

Author(s):

Eiichiro Momma ◽

Hiromitsu Ishii ◽

Takashi Ono

Keyword(s):

Image Processing ◽

Quantitative Evaluation ◽

Rock Weathering

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Comparison of Different Image Processing Methods with Spatial Information in Clinical Brain MRI

Proceedings of the 2020 12th International Conference on Bioinformatics and Biomedical Technology ◽

10.1145/3405758.3405786 ◽

2020 ◽

Author(s):

Iza Sazanita Isa ◽

Mohamad Khairul Faizi Mat Saad ◽

Muhammad Haris Khusairi Mohmad Kadir ◽

Ahmad Afifi Ahmad Afandi ◽

Noor Khairiah A. Karim ◽

...

Keyword(s):

Image Processing ◽

Spatial Information ◽

Brain Mri ◽

Processing Methods

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Image Processing Methods of LANDSAT TM Data for Lineament Analysis

GEOINFORMATICS ◽

10.6010/geoinformatics1975.1989.14b_25 ◽

1989 ◽

Vol 1989 (14B) ◽

pp. 25-39

Author(s):

Katsuaki KOIKE ◽

Hiroyuki ITOH ◽

Michito OHMI

Keyword(s):

Image Processing ◽

Landsat Tm ◽

Processing Methods ◽

Lineament Analysis

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Fast Transforms in Image Processing: Compression, Restoration, and Resampling

Advances in Electrical Engineering ◽

10.1155/2014/276241 ◽

2014 ◽

Vol 2014 ◽

pp. 1-23 ◽

Cited By ~ 6

Author(s):

Leonid P. Yaroslavsky

Keyword(s):

Image Processing ◽

Image Compression ◽

Image Restoration ◽

Compressive Sensing ◽

Adaptive Filters ◽

Processing Methods ◽

Fast Transforms ◽

Image Transforms

Transform image processing methods are methods that work in domains of image transforms, such as Discrete Fourier, Discrete Cosine, Wavelet, and alike. They proved to be very efficient in image compression, in image restoration, in image resampling, and in geometrical transformations and can be traced back to early 1970s. The paper reviews these methods, with emphasis on their comparison and relationships, from the very first steps of transform image compression methods to adaptive and local adaptive filters for image restoration and up to “compressive sensing” methods that gained popularity in last few years. References are made to both first publications of the corresponding results and more recent and more easily available ones. The review has a tutorial character and purpose.

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