Abstract
This paper presents an algorithm for automatically detectingand segmenting a moving object from a monocularvideo. Detecting and segmenting a moving object from avideo with limited object motion is challenging. Since existingautomatic algorithms rely on motion to detect the movingobject, they cannot work well when the object motion issparse and insufficient. In this paper, we present an unsupervisedalgorithm to learn object color and locality cuesfrom the sparse motion information. We first detect keyframes with reliable motion ....etc

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Please give me the matlab source code of skin color detection and extraction i will be very thankful to you. ....etc

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Detection of corrosion damage in aircraft wing skin structures is an ongoing NDT challenge. Ultrasonic methods are known and well-accepted techniques, which are relatively simple to carry out in terms of setup, probes and instrumentation and operator training. However, with conventional inspection from the top surface using a transducer at normal incidence (0o to the normal to the surface) producing a visual picture in the form of a C-scan, it is very tie consuming to point-by-point inspects large aircraft wing skin areas. In addition it is too ....etc

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TRANSILLUMINATION IMAGING FOR EARLY SKIN CANCER DETECTION



I. INTRODUCTION
Frequent screening of suspicious skin pigmentations is a very effective approach for detecting skin cancers before they become lethal, since early changes in a malignant nevus typically consist in the development of an irregular pigmentation pattern. However, visual detection of melanomas by a dermatologist has an average diagnostic accuracy of only 58% , but it can be improved u ....etc

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Abstract
In this paper, a novel moving object modeling suitable for multicamera correspondence is introduced. Taking into consideration the color and motion features of foreground objects in each independent video stream, our method segments the existing moving objects and constructs a graph-based structure to maintain the relational information of each segment. Using such graph structures reduces our correspondence problem to a subgraph optimal isomorphism problem. The proposed method is robust against various resolutions and orientations of ....etc

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Automatic Segmentation of Skin Cancer Images using Adaptive Color Clustering



Introduction
Skin cancer is one of the most common types of cancer and it can affect people at any age. It is a malignant tumor that develops changes in the skin texture and color, but it can be cured in more than 90% of cases, if the skin tumor is detected and treated in the early stages. There are two types of skin cancer, namely malignant melanoma and non-melanoma (basal cell an ....etc

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INTRODUCTION
CAUSE OF CORROSION – MOISTURE, WATER, CRACKS
AREAS AFFECTED – SURFACE, LAP JOINTS, FASTENERS
3. NEED OF NDT
NON DESTRUCTIVE TESTS (NDT)
VISUAL INSPECTION
MAGNETIC PARTICLE TEST
LIQUID (DYE) PENITRATION TEST
X – RAY PENETRATION INSPECTION
EDDY CURRENT INSPECTION
ULTRASONIC INSPECTION
DEFECTS OF CONVENTIONAL SYSTEMS
INSPECTION FROM TOP NORMAL TO SURFACE
2. TIME CONSUMING FOR POINT TO POINT INSPECTION
3. INABILITY TO DETECT (a) DISBONDS IN MULTILAY ....etc

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Application System Modeling Data Modeling through ER Model
Context Level Diagram
Data Flow Diagram
1. It is a graphical tool for designing systems ,input ,process and output.
2. It represents flow of data through system.
3. It shows the processes ,data stores ,sources & destination entities .
4. The transformation of data from input to output through process is described logically.
5. The top level diagram is called context diagram. It contains single process .It gives a broad overview of the system under ....etc

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please send the documentation and source code ....etc

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please provide the ppt of above mention title















....etc

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