WO2016062068A1 - 图片删除方法及装置 - Google Patents
图片删除方法及装置 Download PDFInfo
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- WO2016062068A1 WO2016062068A1 PCT/CN2015/078705 CN2015078705W WO2016062068A1 WO 2016062068 A1 WO2016062068 A1 WO 2016062068A1 CN 2015078705 W CN2015078705 W CN 2015078705W WO 2016062068 A1 WO2016062068 A1 WO 2016062068A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Definitions
- the present invention relates to the field of communications, and in particular to a method and apparatus for deleting a picture.
- the embodiment of the invention provides a method and a device for deleting a picture, so as to solve at least the problem that the user needs to confirm and manually delete the invalid picture in the related art, which is time-consuming and laborious.
- a method for deleting a picture including: detecting image information of an acquired picture; determining whether image information of the picture meets a predetermined rule; and deleting the item if the determination result is negative Said the picture.
- detecting the acquired image information of the picture includes at least one of the following methods: image blur detection, face detection, and invalid image detection for detecting the image by using a pixel gray value. .
- determining whether the image information of the image meets a predetermined rule comprises: acquiring an image of the image a pixel gray value of each pixel included in the information; whether the number of pixel points whose pixel gray value is greater than the first pixel gray value or smaller than the second pixel gray value is greater than a predetermined threshold; and the determination result is yes Next, it is determined that the picture does not meet the predetermined rule.
- deleting the picture includes directly deleting the picture without prompting the terminal user.
- deleting the picture includes: prompting the terminal user whether to delete the picture; and deleting the picture when the received input information of the terminal user is determined to delete the picture.
- the method before detecting the acquired image information of the picture, the method further includes: acquiring the picture by at least one of: photographing, network downloading, Bluetooth transmission, and near field communication NFC.
- a picture deletion apparatus including: a detection module configured to detect image information of an acquired picture; and a determination module configured to determine whether image information of the picture conforms to a predetermined rule; The module is deleted and set to delete the picture if the judgment result is no.
- detecting the acquired image information of the picture includes at least one of the following methods: image blur detection, face detection, and setting of invalid image detection for detecting the image by using a pixel gray value. .
- the determining module includes: an acquiring unit, configured to: when detecting the acquired image information of the image by using the invalid image detecting manner, acquiring each of the image information included in the image a pixel gray value of the pixel; a determining unit configured to determine whether the pixel gray value is greater than the first pixel gray value or less than the second pixel gray value, and the number of pixel points is greater than a predetermined threshold; the determining unit is configured to determine If the result is YES, it is determined that the picture does not conform to the predetermined rule.
- the deleting module includes: a first deleting unit, configured to directly delete the picture without prompting the terminal user.
- the deleting module includes: a reminding unit, configured to remind the terminal user whether to delete the picture; and a second deleting unit, configured to delete the picture according to the received input information of the terminal user When the picture is deleted.
- the image deletion device further includes: an acquiring module, configured to acquire the image by at least one of the following methods: photographing, network downloading, Bluetooth transmission, and near field communication NFC.
- the image information of the acquired picture is detected; whether the image information of the picture meets a predetermined rule is determined; if the determination result is negative, the picture is deleted, and the related art exists.
- the user needs to confirm and manually delete the invalid picture, which is time-consuming and labor-intensive, thereby achieving the effect of saving time and effort and improving the user experience.
- FIG. 1 is a flowchart of a picture deletion method according to an embodiment of the present invention.
- FIG. 2 is a structural block diagram of a picture deleting apparatus according to an embodiment of the present invention.
- FIG. 3 is a structural block diagram of a determining module 24 in a picture deleting apparatus according to an embodiment of the present invention
- FIG. 4 is a block diagram 1 of a structure of a deletion module 26 in a picture deletion apparatus according to an embodiment of the present invention
- FIG. 5 is a second structural block diagram of a deletion module 26 in a picture deletion apparatus according to an embodiment of the present invention.
- FIG. 6 is a block diagram showing a preferred structure of a picture deleting apparatus according to an embodiment of the present invention.
- FIG. 7 is a diagram of deleting an invalid photographing apparatus according to an embodiment of the present invention.
- FIG. 8 is a flowchart of a method for deleting invalid photographs according to an embodiment of the present invention.
- FIG. 1 is a flowchart of a method for deleting a picture according to an embodiment of the present invention. As shown in FIG. 1 , the process includes the following steps:
- Step S102 detecting image information of the acquired picture
- Step S104 determining whether the image information of the picture meets a predetermined rule
- step S106 if the determination result is no, the picture is deleted.
- the image information of the acquired picture is detected; whether the image information of the picture meets the predetermined rule; if the determination result is negative, the picture is deleted, and the function of detecting the picture by the terminal is realized, and no artificial action is required.
- detecting the image information of the acquired picture comprises at least one of image blur detection, face detection, and invalid image detection for detecting a picture using pixel gray values.
- the image detection is performed by the terminal, and the image may be checked before the image is saved, and the saved image may be detected, thereby saving the user time to manually determine whether the image is valid.
- determining whether the image information of the image conforms to the predetermined rule includes: acquiring a pixel gray value of each pixel included in the image information of the image; Whether the number of pixel points whose pixel gray value is greater than the first pixel gray value or smaller than the second pixel gray value is greater than a predetermined threshold; if the determination result is yes, it is determined that the picture does not meet the predetermined rule.
- determining the number of pixels it is also possible to determine the proportion of the number of pixels whose pixel gray value is greater than the first pixel gray value or less than the second pixel gray value in the total number of pixel points, when a certain threshold is exceeded. When it is determined that the picture does not meet the predetermined rules.
- deleting the picture comprises deleting the picture directly without alerting the end user. This operation is automatically performed by the terminal. Once an invalid picture is detected, the picture is automatically deleted, which greatly saves the time for optimizing the memory space.
- deleting the picture includes: reminding the terminal user whether to delete the picture; deleting the picture when the received input information of the terminal user is determined to delete the picture. This method can save invalid images that some users do not want to delete, and improve user experience.
- the method further includes: acquiring the picture by at least one of the following methods: photographing, network downloading, Bluetooth transmission, and near field communication NFC. It can be seen that the above picture deletion method can be applied to the photographing technology, and can also be applied to the image downloading process during the image downloading process shared by the user. Therefore, the user can fully enjoy the convenience brought by the above picture deletion method.
- a picture deletion device is further provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and has not been described again.
- the term “module” may implement a combination of software and/or hardware of a predetermined function.
- the apparatus described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware, is also possible and contemplated.
- FIG. 2 is a structural block diagram of a picture deletion apparatus according to an embodiment of the present invention. As shown in FIG. 2, the apparatus includes a detection module 22, a determination module 24, and a deletion module 26. The device will be described below.
- the detecting module 22 is configured to detect image information of the acquired picture; the determining module 24 is connected to the detecting module 22, and is configured to determine whether the image information of the picture meets a predetermined rule; the deleting module 26 is connected to the determining module 24, Set to delete the picture if the judgment result is no.
- the detecting the image information of the acquired picture includes at least one of the following methods: image blur detection, face detection, and setting of invalid image detection for detecting a picture by using a pixel gray value.
- FIG. 3 is a structural block diagram of the determining module 24 in the picture deleting apparatus according to the embodiment of the present invention.
- the determining module 24 includes an obtaining unit 32, a determining unit 34, and a determining unit 36.
- the determination module 24 will be described below.
- the obtaining unit 32 is configured to acquire the pixel gradation value of each pixel included in the image information of the image when the image information of the acquired image is detected by the invalid image detection method; and the determining unit 34 is connected to the acquiring unit 32. And determining whether the number of pixel points whose pixel gray value is greater than the first pixel gray value or smaller than the second pixel gray value is greater than a predetermined threshold; the determining unit 36 is connected to the determining unit 34, and is set to be In the case of YES, it is determined that the picture does not conform to the predetermined rule.
- FIG. 4 is a block diagram showing the structure of the deleting module 26 in the picture deleting apparatus according to the embodiment of the present invention. As shown in FIG. 4, the deleting module 26 includes a first deleting unit 42, and the deleting module 26 will be described below.
- the first deletion unit 42 is arranged to delete the picture directly without alerting the end user.
- FIG. 5 is a structural block diagram 2 of the deleting module 26 in the picture deleting apparatus according to the embodiment of the present invention. As shown in FIG. 5, the deleting module 26 includes a reminding unit 52 and a second deleting unit 54, and the deleting module 26 is performed below. Description.
- the reminding unit 52 is configured to remind the terminal user whether to delete the picture;
- the second deleting unit 54 is connected to the reminding unit 52, and is configured to delete the picture when the received input information of the terminal user is determined to delete the picture.
- FIG. 6 is a block diagram showing a preferred structure of a picture deletion apparatus according to an embodiment of the present invention. As shown in FIG. 6, the apparatus includes an acquisition module 62 in addition to all the modules shown in FIG. 2, and the apparatus will be described below.
- the obtaining module 62 is connected to the detecting module 22, and is configured to acquire the picture by at least one of the following methods: photographing, network downloading, Bluetooth transmission, and near field communication NFC.
- the invalid picture can be effectively reduced by the method or apparatus in the above embodiments.
- the user does not need to enlarge the picture to see if the current picture is valid, and there is no need to worry about the child operation to save a lot of useless pictures.
- Only need to add an automatic detection mechanism you can analyze the current picture, or you can analyze and process according to the pictures already saved in the picture folder to determine whether there is no image photo, or a blurred photo of the face, or not Clear photo.
- the user can choose to delete automatically or selectively delete after automatic prompting. Use this technology to detect invalid photos in the current album or other photo folders, and to clear unnecessary storage space for the terminal or camera products.
- FIG. 7 is a diagram of deleting an invalid photographing apparatus according to an embodiment of the present invention.
- the apparatus includes an image capturing module 72 (same as the above obtaining module 62), an image detecting module 74 (same as the above detecting module 22), and an image processing module. 76 (same as the above-mentioned judging module 24 and deleting module 26), each module will be described below.
- the image acquisition module 72 is composed of a digital camera, a connector and a camera interface standard data receiver, and writes image data output by the camera to the system cache according to the camera interface standard interface protocol.
- the image acquisition module 72 is mainly responsible for collecting image information that the user needs to take a photo. This module can make the terminal product or the camera device of the camera product.
- the image detecting module 74 is configured to process the current image information, and determine whether the current photo is valid by detecting the pixel point information.
- detection modes such as fuzzy detection, face detection, and image detection.
- Fuzzy detection It is common to use various edge detection operators to convolute the image and calculate the gradient value of each part of the image. Since the edge has abrupt pixel values, the gradient is likely to be the edge. Common are sobel operators and so on. If the gradient value of the entire image is relatively small, then the entire image is a blurred image and the user can be prompted to delete it.
- Face Detection The outline of a face can be approximated as an ellipse, and the face can be completed by detecting an ellipse. Edge detection can be performed on any of the images, and the feature curve is extracted from the refined edges to detect the face. Although the face varies from person to person, it follows some generally applicable rules, such as the geometric distribution rules of the five senses, to determine whether the current image meets the requirements by detecting whether there is a human face in the image, that is, whether the image blocks satisfying these rules are satisfied.
- Invalid image detection The images are composed of pixels. By calculating the gray value of the pixel of the whole image, the value ranges from 0-255, white to 255, and black to 0. If 80% of the entire image is less than 50, or 80% of the entire image is >200, then it can be determined that the current image is a full black or all white image, thereby detecting whether the invalid image prompts the user to delete. Of course, if you need to take a special image, you can turn off this image detection function directly.
- the image processing module 76 After receiving the detection result of the image detecting module 74, if the result is that the image is valid, the image processing module 76 directly saves the current image. If the result is invalid, the image is automatically deleted or reminded whether the user needs to delete, and according to the user's operation. The picture is processed. The invalid image can be saved to a folder of another similar recycle bin to prompt the user to delete, which is convenient for the user to operate.
- FIG. 8 is a flowchart of a method for deleting an invalid photograph according to an embodiment of the present invention. As shown in FIG. 8 , the flow includes the following steps:
- Step S804 the image acquisition module collects an image
- Step S806 entering an image detecting module to detect an image
- Step S808 determining whether the current image is a valid image
- Step S810 entering the image processing module to process the image, when the image is valid, proceeds to step S812, otherwise proceeds to step S814;
- Step S812 directly saving the image
- step S814 the image is directly deleted or deleted or saved according to the user selection.
- the current photo it can be determined whether the current photo is valid, and if it is determined that the current photo is taken as a clear photo, if it is determined that the current photo is a fuzzy photo, if the photo is invalid, the image is automatically deleted, or the user is prompted to save and then automatically deleted. At the same time, it can also detect whether there is an invalid picture in the current picture file, directly delete or prompt to delete, and clean up the useless storage space for the user.
- modules or steps of the present invention described above can be implemented by a general-purpose computing device that can be centralized on a single computing device or distributed across a network of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device such that they may be stored in the storage device by the computing device and, in some cases, may be different from The steps shown or described are performed sequentially, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps thereof are fabricated into a single integrated circuit module. Thus, the invention is not limited to any specific combination of hardware and software.
- the image information of the acquired picture is detected; whether the image information of the picture meets a predetermined rule is determined; and if the determination result is negative, the picture is deleted.
- the invention solves the problem that the user needs to confirm and manually delete the invalid picture in the related art, which is time-consuming and laborious, thereby achieving the effect of saving time and labor and improving the user experience.
Abstract
本发明提供了一种图片删除方法及装置，其中，该方法包括：对获取的图片的图像信息进行检测；判断该图片的图像信息是否符合预定规则；在判断结果为否的情况下，删除该图片。通过本发明，解决了相关技术中存在的需要用户确认并手动删除无效图片，费时费力的问题，进而达到了省时省力，提高用户体验的效果。
Description
本发明涉及通信领域，具体而言，涉及一种图片删除方法及装置。
当前儿童接触电子产品的时间越来越多，尤其喜欢使用其中的拍照功能，但是又不会操作，经常会拍出全黑、模糊等无效照片，而且连拍数张，会占用拍照产品的大量内存。这个时候家长需要手动选择并且删除这些图片，费时费力。另外一种情况就是采用终端或者是其他拍照产品进行拍照的时候，因为屏幕小无法确认当前拍照效果如何，有时候会有很多模糊照片，但是在小屏幕的终端上无法辨别，需要放大拍的照片，在照片不合格的时候，再手动去删除这些照片。
因此，在相关技术中，主要是采用放大当前照片，人为确认当前拍照是否符合要求。这样如果想保证拍照质量，需要每次拍照后都人为去确认，费时费力，而且有的时候在强光下拍照后，由于看不清楚屏幕，无法通过屏幕确认照片是否合格。
针对相关技术中存在的需要用户确认并手动删除无效图片，费时费力的问题，目前尚未提出有效的解决方案。
发明内容
本发明实施例提供了一种图片删除方法及装置，以至少解决相关技术中存在的需要用户确认并手动删除无效图片，费时费力的问题。
根据本发明的一个方面，提供了一种图片删除方法，包括：对获取的图片的图像信息进行检测；判断所述图片的图像信息是否符合预定规则；在判断结果为否的情况下，删除所述图片。
在本发明实施例中，对获取的所述图片的图像信息进行检测包括以下方式至少之一：图像模糊检测，人脸检测，用于利用像素灰度值对所述图片进行检测的无效图像检测。
在本发明实施例中，当利用所述无效图像检测方式对获取的所述图片的图像信息进行检测时，判断所述图片的图像信息是否符合预定规则包括：获取所述图片的图像
信息中包含的各像素点的像素灰度值；判断像素灰度值大于第一像素灰度值或小于第二像素灰度值的像素点的数量是否大于预定阈值；在判断结果为是的情况下，确定所述图片不符合预定规则。
在本发明实施例中，删除所述图片包括：在不提醒终端用户的情况下直接删除所述图片。
在本发明实施例中，删除所述图片包括：提醒终端用户是否删除所述图片；在接收的所述终端用户的输入信息为确定删除所述图片时，删除所述图片。
在本发明实施例中，在对获取的所述图片的图像信息进行检测之前，还包括通过以下方式至少之一获取所述图片：拍照，网络下载，蓝牙传输，近场通信NFC。
根据本发明的另一方面，提供了一种图片删除装置，包括：检测模块，设置为对获取的图片的图像信息进行检测；判断模块，设置为判断所述图片的图像信息是否符合预定规则；删除模块，设置为在判断结果为否的情况下，删除所述图片。
在本发明实施例中，对获取的所述图片的图像信息进行检测包括以下方式至少之一：图像模糊检测，人脸检测，设置为利用像素灰度值对所述图片进行检测的无效图像检测。
在本发明实施例中，所述判断模块包括：获取单元，设置为当利用所述无效图像检测方式对获取的所述图片的图像信息进行检测时，获取所述图片的图像信息中包含的各像素点的像素灰度值；判断单元，设置为判断像素灰度值大于第一像素灰度值或小于第二像素灰度值的像素点的数量是否大于预定阈值；确定单元，设置为在判断结果为是的情况下，确定所述图片不符合预定规则。
在本发明实施例中，所述删除模块包括：第一删除单元，设置为在不提醒终端用户的情况下直接删除所述图片。
在本发明实施例中，所述删除模块包括：提醒单元，设置为提醒终端用户是否删除所述图片；第二删除单元，设置为在接收的所述终端用户的输入信息为确定删除所述图片时，删除所述图片。
在本发明实施例中，所述图片删除装置还包括：获取模块，设置为通过以下方式至少之一获取所述图片：拍照，网络下载，蓝牙传输，近场通信NFC。
通过本发明实施例，采用对获取的图片的图像信息进行检测；判断所述图片的图像信息是否符合预定规则；在判断结果为否的情况下，删除所述图片，解决了相关技术中存在的需要用户确认并手动删除无效图片，费时费力的问题，进而达到了省时省力，提高用户体验的效果。
此处所说明的附图用来提供对本发明的进一步理解，构成本申请的一部分，本发明的示意性实施例及其说明用于解释本发明，并不构成对本发明的不当限定。在附图中：
图1是根据本发明实施例的图片删除方法的流程图；
图2是根据本发明实施例的图片删除装置的结构框图；
图3是根据本发明实施例的图片删除装置中判断模块24的结构框图；
图4是根据本发明实施例的图片删除装置中删除模块26的结构框图一；
图5是根据本发明实施例的图片删除装置中删除模块26的结构框图二；
图6是根据本发明实施例的图片删除装置的优选结构框图；
图7是根据本发明实施例的删除无效拍照装置；
图8是根据本发明实施例的删除无效拍照的方法流程图。
下文中将参考附图并结合实施例来详细说明本发明。需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。
在本实施例中提供了一种图片删除方法，图1是根据本发明实施例的图片删除方法的流程图，如图1所示，该流程包括如下步骤：
步骤S102，对获取的图片的图像信息进行检测；
步骤S104，判断该图片的图像信息是否符合预定规则；
步骤S106，在判断结果为否的情况下，删除该图片。
通过上述步骤，对获取的图片的图像信息进行检测；判断该图片的图像信息是否符合预定规则；在判断结果为否的情况下，删除该图片，实现了由终端完成图片的检测功能，无需人为的去查找、放大图片，再确认该图片有效，解决了相关技术中存在的需要用户确认并手动删除无效图片，费时费力的问题，进而达到了省时省力，提高用户体验的效果。
在一个优选地实施例中，对获取的图片的图像信息进行检测包括以下方式至少之一：图像模糊检测，人脸检测，用于利用像素灰度值对图片进行检测的无效图像检测。其中，在进行图片检测时，是由终端执行的检测操作，可以在图片保存之前对图片进行检查，也可以对已经保存的图片进行检测，从而节省了用户去手动确定图片是否有效的时间。
其中，当利用无效图像检测方式对获取的图片的图像信息进行检测时，判断该图片的图像信息是否符合预定规则包括：获取该图片的图像信息中包含的各像素点的像素灰度值；判断像素灰度值大于第一像素灰度值或小于第二像素灰度值的像素点的数量是否大于预定阈值；在判断结果为是的情况下，确定该图片不符合预定规则。除了判断像素点数量外，也可以判断像素灰度值大于第一像素灰度值或小于第二像素灰度值的像素点的数量在像素点总数量中所占的比例，当超过一定的阈值时，确定该图片不符合预定规则。
在一个优选的实施例中，删除该图片包括：在不提醒终端用户的情况下直接删除该图片。该操作是由终端自动执行的，一旦检查到无效图片，则自动删除该图片，极大的节省了优化内存空间的时间。
在一个优选的实施例中，删除该图片包括：提醒终端用户是否删除该图片；在接收的终端用户的输入信息为确定删除该图片时，删除该图片。采用该方式可以保留部分用户不想删除的无效图片，提高用户体验。
其中，在对获取的图片的图像信息进行检测之前，还包括通过以下方式至少之一获取该图片：拍照，网络下载，蓝牙传输，近场通信NFC。由此可知，上述图片删除方法可以应用于拍照技术中，也可以应用于图片下载，用户共享的图片传输过程中。从而使得用户能全面的享受到上述图片删除方法带来的便捷。
在本实施例中还提供了一种图片删除装置，该装置用于实现上述实施例及优选实施方式，已经进行过说明的不再赘述。如以下所使用的，术语“模块”可以实现预定功能的软件和/或硬件的组合。尽管以下实施例所描述的装置较佳地以软件来实现，但是硬件，或者软件和硬件的组合的实现也是可能并被构想的。
图2是根据本发明实施例的图片删除装置的结构框图，如图2所示，该装置包括检测模块22、判断模块24和删除模块26。下面对该装置进行说明。
检测模块22，设置为对获取的图片的图像信息进行检测；判断模块24，连接至上述检测模块22，设置为判断图片的图像信息是否符合预定规则；删除模块26，连接至上述判断模块24，设置为在判断结果为否的情况下，删除该图片。
其中，对获取的图片的图像信息进行检测包括以下方式至少之一：图像模糊检测，人脸检测，设置为利用像素灰度值对图片进行检测的无效图像检测。
图3是根据本发明实施例的图片删除装置中判断模块24的结构框图，如图3所示，该判断模块24包括获取单元32、判断单元34和确定单元36。下面对该判断模块24进行说明。
获取单元32，设置为当利用无效图像检测方式对获取的图片的图像信息进行检测时，获取图片的图像信息中包含的各像素点的像素灰度值；判断单元34，连接至上述获取单元32，设置为判断像素灰度值大于第一像素灰度值或小于第二像素灰度值的像素点的数量是否大于预定阈值；确定单元36，连接至上述判断单元34，设置为在判断结果为是的情况下，确定该图片不符合预定规则。
图4是根据本发明实施例的图片删除装置中删除模块26的结构框图一，如图4所示，该删除模块26包括第一删除单元42，下面对该删除模块26进行说明。
第一删除单元42，设置为在不提醒终端用户的情况下直接删除该图片。
图5是根据本发明实施例的图片删除装置中删除模块26的结构框图二，如图5所示，该删除模块26包括提醒单元52和第二删除单元54，下面对该删除模块26进行说明。
提醒单元52，设置为提醒终端用户是否删除该图片；第二删除单元54，连接至上述提醒单元52，设置为在接收的终端用户的输入信息为确定删除该图片时，删除该图片。
图6是根据本发明实施例的图片删除装置的优选结构框图，如图6所示，该装置除包括图2所示的所有模块外，还包括获取模块62，下面对该装置进行说明。
获取模块62，连接至上述检测模块22，设置为通过以下方式至少之一获取该图片：拍照，网络下载，蓝牙传输，近场通信NFC。
通过上述各实施例中的方法或装置可以有效的减少无效图片。用户在接收到图片的时候不需要人为放大图片查看当前拍照是否有效，也不用担心儿童操作保存很多无用图片。只需要增加一个自动检测机制，就可以对当前图片进行分析处理，或者也可以根据图片文件夹中已经保存的图片进行分析处理，判断是否是无图像照片，或者是人脸模糊照片，或者是不清晰照片。用户可以选择自动删除或者是自动提示后选择性删除。采用此项技术可以检测当前相册中或其他图片文件夹中的无效照片，为终端或者是拍照产品清除不必要的存储空间。
下面以删除无效拍照为例对本发明实施例进行说明。
图7是根据本发明实施例的删除无效拍照装置，如图7所示，该装置包括图像采集模块72(同上述获取模块62)，图像检测模块74(同上述检测模块22)，图像处理模块76(同上述判断模块24和删除模块26)，下面对各模块进行说明。
1.图像采集模块72
图像采集模块72由数字相机、连接器和相机接口标准数据接收机组成，按照照相机接口标准接口协议要求将相机输出的图像数据写入系统缓存中。图像采集模块72主要负责采集用户需要拍照的图像信息，这个模块可以使终端产品或者拍照产品的拍照设备。
2.图像检测模块74
图像检测模块74设置为处理当前的图像信息，通过检测像素点信息，判断当前拍照是否有效。检测模式可以有多种，可以有模糊检测，可以有人脸检测，可以有无图像检测等。
模糊检测：常用的是用各种边缘检测算子对图像进行卷积运算，计算出来图像每个部分的梯度值，由于边缘有突变的像素值，所以梯度大的地方很可能是边缘。常见的有sobel算子等。如果整个图片的梯度值都比较小，那就是整幅图像是模糊图像，可以提示用户是否删除。
人脸检测：人脸的轮廓可以近似被看成一个椭圆，则人脸可以通过检测椭圆来完成。对任意一副图像可以进行边缘检测，并对细化后的边缘提取特征曲线来检测人脸。虽然人脸因人而异，但是都遵循一些普遍适用的规则，如五官的几何分布规则，通过检测图像中是否有人脸，即是否满足这些规则的图像块来确定当前图像是否符合要求。
无效图像检测：图像都是有像素点组成，通过计算整幅图像的像素点灰度值，取值范围从0-255，白色为255，黑色为0。如果整幅图像的80％为小于50，或者整幅图像的80％>200，那就可以判定当前图像为全黑或者全白图像，从而检测出无效图像提示用户是否删除。当然如果需要特殊图像拍照，可以直接关闭此图像检测功能。
3.图像处理模块76
图像处理模块76在接收到图像检测模块74的检测结果后，如果结果为图像有效，则直接保存当前图像，如果结果为图像无效，则自动删除或者提醒用户是否需要删除，并根据用户的操作对图片进行处理。其中，可以将该无效图像保存到其他类似回收站的文件夹中提示用户是否删除，方便用户操作。
图8是根据本发明实施例的删除无效拍照的方法流程图，如图8所示，该流程包括如下步骤：
步骤S802，开始；
步骤S804，图像采集模块采集图像；
步骤S806，进入图像检测模块对图像进行检测；
步骤S808，判断当前图像是否为有效图像；
步骤S810，进入图像处理模块对图像进行处理，当图像有效时，进入步骤S812，否则进入步骤S814；
步骤S812，直接保存该图像；
步骤S814，直接删除图像或根据用户选择进行图片的删除或保存。
通过上述装置或方法，可以确定当前拍照是否有效，如果确定当前拍照为清晰拍照则保存，如果确定当前拍照为模糊拍照，等无效拍照，则自动删除，或者是提示用户是否保存后再自动删除，同时还可以检测当前的图片文件中是否有无效图片，直接进行删除或者提示删除，为用户清理无用的存储空间。
显然，本领域的技术人员应该明白，上述的本发明的各模块或各步骤可以用通用的计算装置来实现，它们可以集中在单个的计算装置上，或者分布在多个计算装置所组成的网络上，可选地，它们可以用计算装置可执行的程序代码来实现，从而，可以将它们存储在存储装置中由计算装置来执行，并且在某些情况下，可以以不同于此处
的顺序执行所示出或描述的步骤，或者将它们分别制作成各个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样，本发明不限制于任何特定的硬件和软件结合。
以上所述仅为本发明的优选实施例而已，并不用于限制本发明，对于本领域的技术人员来说，本发明可以有各种更改和变化。凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。
如上所述，通过上述实施例及优选实施方式，采用对获取的图片的图像信息进行检测；判断所述图片的图像信息是否符合预定规则；在判断结果为否的情况下，删除所述图片，解决了相关技术中存在的需要用户确认并手动删除无效图片，费时费力的问题，进而达到了省时省力，提高用户体验的效果。
Claims (12)
- 一种图片删除方法，包括：对获取的图片的图像信息进行检测；判断所述图片的图像信息是否符合预定规则；在判断结果为否的情况下，删除所述图片。
- 根据权利要求1所述的方法，其中，对获取的所述图片的图像信息进行检测包括以下方式至少之一：图像模糊检测，人脸检测，设置为利用像素灰度值对所述图片进行检测的无效图像检测。
- 根据权利要求2所述的方法，其中，当利用所述无效图像检测方式对获取的所述图片的图像信息进行检测时，判断所述图片的图像信息是否符合预定规则包括：获取所述图片的图像信息中包含的各像素点的像素灰度值；判断像素灰度值大于第一像素灰度值或小于第二像素灰度值的像素点的数量是否大于预定阈值；在判断结果为是的情况下，确定所述图片不符合预定规则。
- 根据权利要求1所述的方法，其中，删除所述图片包括：在不提醒终端用户的情况下直接删除所述图片。
- 根据权利要求1所述的方法，其中，删除所述图片包括：提醒终端用户是否删除所述图片；在接收的所述终端用户的输入信息为确定删除所述图片时，删除所述图片。
- 根据权利要求1所述的方法，其中，在对获取的所述图片的图像信息进行检测之前，还包括通过以下方式至少之一获取所述图片：拍照，网络下载，蓝牙传输，近场通信NFC。
- 一种图片删除装置，包括：检测模块，设置为对获取的图片的图像信息进行检测；判断模块，设置为判断所述图片的图像信息是否符合预定规则；删除模块，设置为在判断结果为否的情况下，删除所述图片。
- 根据权利要求7所述的装置，其中，对获取的所述图片的图像信息进行检测包括以下方式至少之一：图像模糊检测，人脸检测，设置为利用像素灰度值对所述图片进行检测的无效图像检测。
- 根据权利要求8所述的装置，其中，所述判断模块包括：获取单元，设置为当利用所述无效图像检测方式对获取的所述图片的图像信息进行检测时，获取所述图片的图像信息中包含的各像素点的像素灰度值；判断单元，设置为判断像素灰度值大于第一像素灰度值或小于第二像素灰度值的像素点的数量是否大于预定阈值；确定单元，设置为在判断结果为是的情况下，确定所述图片不符合预定规则。
- 根据权利要求7所述的装置，其中，所述删除模块包括：第一删除单元，设置为在不提醒终端用户的情况下直接删除所述图片。
- 根据权利要求7所述的装置，其中，所述删除模块包括：提醒单元，设置为提醒终端用户是否删除所述图片；第二删除单元，设置为在接收的所述终端用户的输入信息为确定删除所述图片时，删除所述图片。
- 根据权利要求7所述的装置，其中，还包括：获取模块，设置为通过以下方式至少之一获取所述图片：拍照，网络下载，蓝牙传输，近场通信NFC。
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| WO2012109712A1 (en) * | 2011-02-18 | 2012-08-23 | National Ict Australia Limited | Image quality assessment |
| CN102509285A (zh) * | 2011-09-28 | 2012-06-20 | 宇龙计算机通信科技(深圳)有限公司 | 一种拍摄出模糊图片的处理方法、系统及拍摄设备 |
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