• No results found

input image

Smart And Energy Efficient Gesture Controlled Home Automation

Smart And Energy Efficient Gesture Controlled Home Automation

... Here, HSV color model is used for preprocessing. Human skin color is clustered at a small area in the color space; it has a restricted range of hues and is not deeply saturated.[8] For marking out the pixels as skin or ...

5

Mri-Pet Image Fusion Based On SPD

Mri-Pet Image Fusion Based On SPD

... on image selection criteria retains more structural information compared to the existing ...of image selection process of input image for image fusion, initially PET image is ...

5

Research on Underwater Image Enhancement Technology Based on Generative Adversative Net work s

Research on Underwater Image Enhancement Technology Based on Generative Adversative Net work s

... generated image and the real image at ...of image quality, which needs to get rid of the brightness of the image information in calculation and contrast information, only compares the ...

7

Satellite Image Resolution Enhancement using Dual tree Complex Wavelet Transform and Non Local Mean

Satellite Image Resolution Enhancement using Dual tree Complex Wavelet Transform and Non Local Mean

... satellite input image is decomposed by DT-CWT (which is nearly shift invariant) to obtain high-frequency ...(LR) input image are interpolated using the Lanczos ...LR input image ...

5

Removal of High Density Salt and Pepper Noise through Hybrid of Negative Selection Algorithm and Median Filter

Removal of High Density Salt and Pepper Noise through Hybrid of Negative Selection Algorithm and Median Filter

... Image filtering is the process of reduction of the noise from a noisy image with an aim to produce a filtered image that is closed to the original image i.e. the ground truth image. ...

5

Genetic algorithm and tabu search approaches to quantization for DCT-based image compression

Genetic algorithm and tabu search approaches to quantization for DCT-based image compression

... SYSTEM bits INPUT IMAGE per DATA AND FLOW: classify image blocks pixel, kernel siae, image rows, image columns, used, maximum iterations, number of quantisation matrices input filename, [r] ...

116

Implementation of Image Processing Technique for Diagnosis of Diseases

Implementation of Image Processing Technique for Diagnosis of Diseases

... as input image, enhance image, image segmentation, register image ,pattern matching ,disease prediction and result analysis and analysis ...infected input images and save name of ...

10

Skin disease prognosis from dermascopic images with image processing and IoT

Skin disease prognosis from dermascopic images with image processing and IoT

... in image pre-processing is image ...the image can be removed and the image region of interest is ...cropped image. Matlab function for image cropping realizes this operation ...

9

Artificial Neural Network Based Classification for Mammographic Micro calcification Clusters

Artificial Neural Network Based Classification for Mammographic Micro calcification Clusters

... the image tumor extraction push button is ...the input image is present, the image must be selected from the ...selected image will be displayed in the first ...the image will be ...

5

Detection of Tumor in MRI Images Using Artificial Neural Networks

Detection of Tumor in MRI Images Using Artificial Neural Networks

... MRI image is loaded as a Input Image(Abnormal MRI Input)(Figure 1) and following pre- processing steps are performed such as Gray Scale Image(Figure 2), it is a range of shades of gray ...

6

Investigation of Human behavior using Biometrics

Investigation of Human behavior using Biometrics

... The image enhancement is done by apposite filtering ...the image is cropped to have same size. Before cropping, the image and the orientation of the palm have to be made in the same as one ...the ...

5

PREVENTION OF FACE SPOOFING ATTACKS AND ITS DETECTION USING LBP

PREVENTION OF FACE SPOOFING ATTACKS AND ITS DETECTION USING LBP

... Low-level feature extraction and Classification are the basic execution modules of Texture and Local Shape Analysis approach. In low level feature extraction The LBP texture analysis operator is defined as a gray scale ...

8

Removal of various Noises in Dental X ray Images using Selective Median Filter

Removal of various Noises in Dental X ray Images using Selective Median Filter

... Dental input image is added with the Speckle noise using the function imnoise in mat ...lab. Input image and noise added image is shown in figure ...corrupted image using the mat ...

9

Shadow Detection and Reconstruction in Satellite Images using Support Vector Machine and Image In-painting

Shadow Detection and Reconstruction in Satellite Images using Support Vector Machine and Image In-painting

... classified image the noise is removed by using median filter. Using the input image and filtered output the image in- painting is performed for the reconstruction ...

8

Implementation of Picwords to Warping Pictures and Keywords through Calligram

Implementation of Picwords to Warping Pictures and Keywords through Calligram

... modules: image, watchwords, picture and keywords and post-processing. For an input image, initially its outline image is ...outline image is the black shape and rough draft of someone ...

5

A. Contrast Equalization

A. Contrast Equalization

... face image acquired by averaging the gray levels of pixels of a number of face images is ...template image is moved through the whole image randomly at different locations to find the position where ...

6

VISIBLE WATERMARKING USING MATLAB SIMULINK

VISIBLE WATERMARKING USING MATLAB SIMULINK

... output image. The input image is shown in ...watermark image to be added is shown in ...as input are converted into array form for further ...of input image ...

5

Futures Trading In Rubber- Are The Stakeholders In Kerala Benefitted?

Futures Trading In Rubber- Are The Stakeholders In Kerala Benefitted?

... tumor image to show our process. In input image window we get the input brain MRI image for the processing and detection of the tumor from the data ...of image we apply the ...

8

Dynamic Resolving of Edge Detection Techniques for an Image

Dynamic Resolving of Edge Detection Techniques for an Image

... an image processing technique for finding the boundaries and edges of objects within ...the image data in order to minimize the amount of data to be processed and can be used to enhance the image by ...

5

Content based Image Retrieval (CBIR) System using Threshold based Color Layout Descriptor (CLD) and Edge Histogram Descriptor (EHD)

Content based Image Retrieval (CBIR) System using Threshold based Color Layout Descriptor (CLD) and Edge Histogram Descriptor (EHD)

... of image databases uses concept of Content based image retrieval (CBIR) ...of image to search large image database as per users’ interest ...the input query given by user is in the form ...

5

Show all 10000 documents...

Related subjects