3D IMAGE PROCESSSING OPERATIONS

BYM.MUTHUKUMAR.

OBJECTIVES:-

Implementation of three basic image processing operations

ENHANCEMENTSEGMENTATIONBLUR

IMAGE PROCESSING:-• Form of signal processing• Input – image•Output –image or set of characteristics or parameters• Implemented through algorithms•Current concentration - “Texture", "Surface Mapping", "Video Tracking”.•Concentration needed on Spectrum & Hierarchy of processing levels

IMAGE ENHANCEMENT:-• Image Enhancement-Processing an image such as Sharpening, De blurring,…•Enhance Multispectral Color Composite Images-suitable for image interpretation, de-correlation•Enhance Color Images-Contrast enhancement, converts image from RGB to L*a*b.

• Imadjust•Histeq•Adaphisteq

IMADJUST:-• Increases the contrast of the image.

HISTEQ:-• Perform histogram equalization.

ADAPTHISTEQ:-• Performs contrast-limited adaptive histogram equalization.• Values are already spread out between the minimum of 0 and maximum of 255.

SEGMENTATION:- process of partitioning a digital image into multiple segmentsSteps Involved:-

•Detect Entire Cell •Fills Gaps•Dilate the Images•Fill Interior Gaps •Remove Connected Objects on Border•Smooth the Object

BLUR:- Usually makes the images unfocused.

BLUR DECONVOLUTION:-

Algorithm can be used effectively when no information about the distortion.

EXPERIMENT STUDY:-

Can be processed using software such as C language Matrix- X, Visual Basic, Java program and MATLAB programming.

ENHANCEMENT:-

ORIGINAL IMAGE

IMADJUST

IMADJUST

HISTEQ

ADAPTHISTEQ

IMAGE COMPOSITE AFTER DECORRELATION STRETCH

SEGMENTATION:-

BINARY GRADIENT MASK

BINARY IMAGE FILLED WITH HOLES

CLEARED BORDER IMAGE

OUTLINED ORIGINAL IMAGE

SEGMENTED IMAGE

BLUR:-

BLURRED AND NOISY IMAGE

HISTOGRAM:-

Comparison histogram for enhancement for 2d and 3d images

2d 3d

Comparison histogram for blur for 2d and 3d images:Comparison histogram for

segmentation for 2d and 3d

CONCLUSION:-

•The presentation briefly elaborates the image process operations for 3D images.•Previous works-in 2D images.•Proposed work-3D images.•The output Algorithms are compared.•The software used is MATLAB

REFERENCES:-

[1] ABDUL HALIM BIN BABA. image processing learning tool-edge detection bachelor degree. university of technology malaysia 1996.

[2] FIONN MURTAGH. Image Processing data analysis. the multi-scale approach. University of Ulster.

[3] Fundamentals of image processing, hany.farid@dartmouth.edu .(http://www.cs.dartmouth.edu/~farid)

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