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RAINFALL PREDICTION The paper is about “Rainfall Prediction Using Digital Image Processing”. The main aim is to use digital cloud image for estimating rainfall and to detect the type of clouds using different image processing techniques. Water is a life giver - even a life creator. A life without water is unimaginable. Every single cell in the body requires water in order to function properly. One important way in which the bodily tissues use water, for instance, is to regulate the body temperature. Hydraulic power is a wonderful source of green energy, where power is created out of water. Water is used in agriculture for irrigating fields of crops. A large amount of fresh water is got from rain. Rainfall is one such important component for life. Rainfall play vital role in our country’s social and economic development. Rainfall being that much important, how are they formed as follows. Rain that’s fallen may have been water in the ocean a couple of days before. The water that is at the top of oceans, rivers and lakes turns into water vapor in the atmosphere using energy from the sun. The water vapor rises in the atmosphere and there it cools down and forms tiny water droplets through something called condensation. These then turn into clouds. When they all combine together, they grow bigger and are too heavy to stay up there in the air. This is when they will fall to the ground as rain. Rainfall can also be predicted with the use of satellite, but it the costliest method. So digitalimage processing techniques are used to determine rainfall. With a prior prediction of rainfall, the people can find some way to save the water for future usage. Accurately forecasting heavy rainfall can allow for warning of floods before rainfall occurs. Additionally, such information is useful in agriculture to improve irrigation practices and the effectiveness of applying fertilizer, pesticides, and herbicides to crops. Digitalimage processing is one such useful technique to predict rainfall. TECHNOLOGY USED FOR THE RAINFALL PREDICTION Predicting the rainfall consists of six phases. In the first phase data is collected. In the second phase the status of sky is found. In the third phase the status of cloud is found. In the fourth phase the type of cloud is evolved. In the fifth phase the information about the cloud and the status of rain are displayed. In the sixth phase the analysis and measurement takes place. 79
Data collection Sky status Cloud status Cloud type Rainfall estimation I. Data collection: The data collected is the digital cloud images. A digital camera is used to capture the clouds. The image is stored in the file system. The dimension chosen for the images is 400 x 250. The format used is *.jpeg. II. Sky status: The second step is sky status. The wavelet is used for finding the sky status. A wavelet is nothing but a small wave of water. It separates the point needed for the cluster. In wavelet separation points are used in the identification of the clouds. The wavelet threshold for the clouds is > 50 and
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A STUDY ON BIOMETRIC IMAGE PROCESSI
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Binarization converts gray scale im
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MOBILE SENSING ON INTERNET OF THING
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4) Feedback applications These inco
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e said as a factor which is seen he
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Net, process the quickening, separa
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1. Regular Sensing A portion of the
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CONCLUSION This paper is an overvie
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SURVEY ON IMAGE PROCESSING METHODS
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transforming different sets of data
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evaluating the food products qualit
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AN OVERVIEW OF CLOUD COMPUTING R. T
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CHARACTERISTICS OF THE CLOUD ‣ Th
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differ in the amount of control tha
Page 30 and 31: Improved performance o With few lar
Page 32 and 33: o Sharing documents leads directly
Page 34 and 35: CONCLUSION To summarize, the cloud
Page 36 and 37: Image Acquisition Image Pre- Proces
Page 38 and 39: ARTIFICIAL NEURAL NETWORK Descripti
Page 40 and 41: Disadvantages 1. Result transparenc
Page 42 and 43: Fig. 1: A Fingerprint Clarification
Page 44 and 45: FINGERPRINT ACQUISITION DEVICES Thi
Page 46 and 47: This strategy naturally creates art
Page 48 and 49: from every member (thumb, fore, and
Page 50 and 51: STORING AND VISUALIZTION OF 3D MODE
Page 52 and 53: MRI what could be compared to impro
Page 54 and 55: A STUDY ON DIGITAL IMAGE PROCESSING
Page 56 and 57: TECHNOLOGY The first animation film
Page 58 and 59: ROAD TRAFFIC SURVEILLANCE AND ACCID
Page 60 and 61: There are numerous crisis circumsta
Page 62 and 63: 2) Power supply The propose framewo
Page 64 and 65: B. Goal of Research To review break
Page 66 and 67: was done on two dataset VIRAT and M
Page 68 and 69: STUDY ON IMAGE PROCESSING IN SECURI
Page 70 and 71: OBJECT RECOGNITION Object recogniti
Page 72 and 73: CONCLUSION A banking locker securit
Page 74 and 75: INTRODUCTION In digital image proce
Page 76 and 77: 3. TYPES OF DIGITAL CAMERA Com
Page 78 and 79: Most of the work done in image fore
Page 82 and 83: Also the cloud mask algorithm is us
Page 84 and 85: BIBLIOGRAPHY Watch "Intro
Page 86 and 87: INTRODUCTION In biological science,
Page 88 and 89: ) Viral disease symptoms: Among all
Page 90 and 91: ANALYSIS ON NETWORK SECURITY S.Kart
Page 92 and 93: Data Integrity - assurance that dat
Page 94 and 95: those who know the particular key u
Page 96 and 97: CONCLUSION It's important to build
Page 98 and 99: A STUDY ON DIGITAL IMAGE PROCESSING
Page 100 and 101: Methodology This has two stages, fi
Page 102 and 103: REFERENCES 1) Digital Image Process
Page 104 and 105: VIRTUAL REALITY TECH AND WORKINGS A
Page 106 and 107: TABLE 2 PARTICULAR DIFFERS VIRTUAL
Page 108 and 109: The Big challenges in the field of
Page 110 and 111: STUDY ON REMOTE SENSING IN DIGITAL
Page 112 and 113: Scientists have made significant ad
Page 114 and 115: CONCLUSION Digital Image Processing
Page 116 and 117: By depiction, huge information in h
Page 118 and 119: Structured data denotes the tabular
Page 120 and 121: B. Algorithmic techniques Huge info
Page 122 and 123: Corridor laid out a strategy for bu
Page 124 and 125: subset can't be part and is for the
Page 126: REFERENCES 1. Alexandros Labrinidis
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